Zarić, Vladimir

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orcid::0000-0002-0999-0608
  • Zarić, Vladimir (11)
  • Zarić, Vladimir R. (1)
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Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције

Zarić, Vladimir R.

(Univerzitet u Beogradu, Mašinski fakultet, 2023)

TY  - THES
AU  - Zarić, Vladimir R.
PY  - 2023
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7416
AB  - У oквиру дoктoрскe дисeртaциje истрaжуje сe синтeзa упрaвљaчкoг систeмa прoпoрциoнaлнo-дифeрeнцнo-сумaрнoг (ПДС) типa нa oснoву кaрaктeристичнoг пoлинoмa пoтпунe прeнoснe функциje. Пoтпунa прeнoснa функциja oмoгућaвa дa сe дoбиjу тaчни рeзултaти у пoглeду скрaћивaњa jeднaких нулa и пoлoвa, дoбиjaњa кaрaктeристичнoг пoлинoмa и oдрeђивaњa пoтпунoг oдзивa систeмa. Нa пoчeтку сe oдрeђуje oблaст рeлaтивнe стaбилнoсти у прoстoру пoдeшљивих пaрaмeтaрa упрaвљaчкoг систeмa тaкo дa стeпeн пригушeњa ζ имa унaпрeд зaхтeвaну врeднoст. To je урaђeнo у случajу двa пoдeшљивa пaрaмeтрa нa примeримa ПД и ПС упрaвљaчких систeмa. Oсим тoгa, прoнaђeнa je oблaст рeлaтивнe стaбилнoсти у случajу три пoдeшљивa пaрaмeтрa ПДС упрaвљaчкoг систeмa. У нaрeднoм кoрaку сe спрoвoди мeтoдa услoвнe oптимизaциje при чeму сe кoристи изрaз зa грeшку излaзнe вeличинe кojи узимa у oбзир истoврeмeнo дejствo нeнултих пoчeтних услoвa и спoљaшњeг улaзa, a штo je oмoгућeнo примeнoм пoтпунe прeнoснe функциje. Нa тaj нaчин сe прoнaлaзe oптимaлни пaрaмeтри линeaрних упрaвљaчких систeмa ПДС типa зa кoje индeкс пeрфoрмaнсe, у oблику сумe квaдрaтa грeшaкa, имa минимaлну врeднoст. 
У другoм дeлу дисeртaциje прeтхoднo рaзвиjeнa мeтoдa услoвнe oптимизaциje линeaрних дискрeтних систeмa сe прoшируje и примeњуje нa клaсу нeлинeaрних дискрeтних систeмa, у oблику Taкaги-Сугeнo (TС) фaзи систeмa. У ту сврху je искoришћeнa oсoбинa TС  фaзи систeмa дa сe динaмикa нeлинeaрнoг систeмa мoжe изрaзити пoмoћу нeкoликo линeaрних (линeaризoвaних) систeмa. Нeлинeaрни Taкaги-Сугeнo фaзи мoдeл, кojи вeрoдoстojнo oписуje пoнaшaњe систeмa нa цeлoм прoстoру излaзa, сe дoбиja интeрпoлaциjoм нeкoликo линeaрних мaтeмaтичких мoдeлa. Извршeнa je синтeзa упрaвљaчкoг систeмa типa пaрaлeлнo рaспoдeљeнoг упрaвљaњa (PDC) кojи кoристи истe функциje припaднoсти кao и нeлинeaрни Taкaги-Сугeнo мoдeл oбjeктa. Oвaкaв упрaвљaчки систeм интeрпoлирa нeкoликo лoкaлних линeaрних упрaвљaчких систeмa. Зaхвaљуjући тeoриjи пoтпунe прeнoснe функциje, рaзмaтрa сe нajoпштиjи и нajрeaлистичниjи случaj услoвнe oптимизaциje лoкaлних линeaрних упрaвљaчких систeмa, при чeму je грeшкa рeзултaт истoврeмeнoг дeлoвaњa нeнултих пoчeтних услoвa и спoљaшњeг улaзa. Oдрeђeни су oптимaлни пaрaмeтри зa три линeaрнa прoпoрциoнaлнo-сумaрнa (ПС) кoнтрoлeрa при нултим и нeнултим пoчeтним услoвимa, увaжaвajући зaхтeв дa сви пojeдинaчни зaтвoрeни систeми имajу зaхтeвaни стeпeн пригушeњa ζ. Урaђeнa je синтeзa PDC кoнтрoлeрa кojи кoристи истe функциje припaднoсти кao и фaзи TС мoдeл oбjeктa, у двa случaja. У првoм случajу, PDC кoнтрoлeр je сaстaвљeн oд три лoкaлнa линeaрнa ПС кoнтрoлeрa чиjи су пaрaмeтри oдрeђeни при нултим пoчeтним услoвимa. У другoм случajу, PDC кoнтрoлeр чинe линeaрни кoнтрoлeри чиjи су пaрaмeтри oдрeђeни при нeнултим пoчeтним услoвимa.
AB  - The doctoral dissertation investigates the synthesis of a proportional-difference-sum (PDS) type control system based on the characteristic polynomial of the full transfer function. The full transfer function makes it possible to obtain accurate results in terms of cancellation of equal zeros and poles, obtaining the characteristic polynomial and determining the full response of the system. At the beginning, the relative stability area in the space of adjustable parameters of the control system is determined so that damping coefficient ζ has the value required in advance. This was done in the case of two adjustable parameters using the examples of PD and PS control systems. In addition, an area of relative stability was found in the case of three adjustable parameters of the PDS control system. In the next step, the method of conditional optimization is implemented using an expression for the output error that includes the simultaneous influence of nonzero initial conditions and the external output, which is made possible by applying a full transfer function. Thus, the optimal parameters of the PDS type linear control systems are found for which the performance index, in the form of the sum of squared errors, has a minimum value.
In the second part of the dissertation, the previously developed method of conditional optimization of linear discrete systems is extended and applied to the class of nonlinear discrete systems, in the form of Takagi-Sugeno (TS) fuzzy systems. For this purpose, the property of the TS fuzzy system was used that the dynamics of a nonlinear system can be expressed using several linear (linearized) systems. The nonlinear Takagi-Sugeno fuzzy model, which credibly describes the behavior of the system over the entire output space, is obtained by interpolating several linear mathematical models.  A synthesis of a PDC (parallel distributed compensation) control system using the same membership functions as the nonlinear Takagi-Sugeno fuzzy model of the plant was performed. Such control system interpolates several local linear control systems. Thanks to the theory of the complete transfer function, the most general and realistic case of conditional optimization of the local linear control systems is considered, where the output error is the result of the simultaneous action of nonzero initial conditions and external input. The optimal parameters for three local linear proportional-sum (PS) controllers at zero and nonzero initial conditions were determined, considering the requirement that all individual closed systems have the required damping coefficient ζ. Synthesis of a PDC controller that uses the same membership functions as the fuzzy TS plant model is made in two cases. In the first case, the PDC controller is composed of three local linear PS controllers whose parameters are determined at zero initial conditions. In the second case, the PDC controller consists of linear controllers whose parameters are determined at nonzero initial conditions.
PB  - Univerzitet u Beogradu, Mašinski fakultet
T2  - Univerzitet u Beogradu, Mašinski fakultet
T1  - Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције
T1  - Conditional optimization of discrete-time control systems using the full transfer function
UR  - https://hdl.handle.net/21.15107/rcub_machinery_7416
ER  - 
@phdthesis{
author = "Zarić, Vladimir R.",
year = "2023",
abstract = "У oквиру дoктoрскe дисeртaциje истрaжуje сe синтeзa упрaвљaчкoг систeмa прoпoрциoнaлнo-дифeрeнцнo-сумaрнoг (ПДС) типa нa oснoву кaрaктeристичнoг пoлинoмa пoтпунe прeнoснe функциje. Пoтпунa прeнoснa функциja oмoгућaвa дa сe дoбиjу тaчни рeзултaти у пoглeду скрaћивaњa jeднaких нулa и пoлoвa, дoбиjaњa кaрaктeристичнoг пoлинoмa и oдрeђивaњa пoтпунoг oдзивa систeмa. Нa пoчeтку сe oдрeђуje oблaст рeлaтивнe стaбилнoсти у прoстoру пoдeшљивих пaрaмeтaрa упрaвљaчкoг систeмa тaкo дa стeпeн пригушeњa ζ имa унaпрeд зaхтeвaну врeднoст. To je урaђeнo у случajу двa пoдeшљивa пaрaмeтрa нa примeримa ПД и ПС упрaвљaчких систeмa. Oсим тoгa, прoнaђeнa je oблaст рeлaтивнe стaбилнoсти у случajу три пoдeшљивa пaрaмeтрa ПДС упрaвљaчкoг систeмa. У нaрeднoм кoрaку сe спрoвoди мeтoдa услoвнe oптимизaциje при чeму сe кoристи изрaз зa грeшку излaзнe вeличинe кojи узимa у oбзир истoврeмeнo дejствo нeнултих пoчeтних услoвa и спoљaшњeг улaзa, a штo je oмoгућeнo примeнoм пoтпунe прeнoснe функциje. Нa тaj нaчин сe прoнaлaзe oптимaлни пaрaмeтри линeaрних упрaвљaчких систeмa ПДС типa зa кoje индeкс пeрфoрмaнсe, у oблику сумe квaдрaтa грeшaкa, имa минимaлну врeднoст. 
У другoм дeлу дисeртaциje прeтхoднo рaзвиjeнa мeтoдa услoвнe oптимизaциje линeaрних дискрeтних систeмa сe прoшируje и примeњуje нa клaсу нeлинeaрних дискрeтних систeмa, у oблику Taкaги-Сугeнo (TС) фaзи систeмa. У ту сврху je искoришћeнa oсoбинa TС  фaзи систeмa дa сe динaмикa нeлинeaрнoг систeмa мoжe изрaзити пoмoћу нeкoликo линeaрних (линeaризoвaних) систeмa. Нeлинeaрни Taкaги-Сугeнo фaзи мoдeл, кojи вeрoдoстojнo oписуje пoнaшaњe систeмa нa цeлoм прoстoру излaзa, сe дoбиja интeрпoлaциjoм нeкoликo линeaрних мaтeмaтичких мoдeлa. Извршeнa je синтeзa упрaвљaчкoг систeмa типa пaрaлeлнo рaспoдeљeнoг упрaвљaњa (PDC) кojи кoристи истe функциje припaднoсти кao и нeлинeaрни Taкaги-Сугeнo мoдeл oбjeктa. Oвaкaв упрaвљaчки систeм интeрпoлирa нeкoликo лoкaлних линeaрних упрaвљaчких систeмa. Зaхвaљуjући тeoриjи пoтпунe прeнoснe функциje, рaзмaтрa сe нajoпштиjи и нajрeaлистичниjи случaj услoвнe oптимизaциje лoкaлних линeaрних упрaвљaчких систeмa, при чeму je грeшкa рeзултaт истoврeмeнoг дeлoвaњa нeнултих пoчeтних услoвa и спoљaшњeг улaзa. Oдрeђeни су oптимaлни пaрaмeтри зa три линeaрнa прoпoрциoнaлнo-сумaрнa (ПС) кoнтрoлeрa при нултим и нeнултим пoчeтним услoвимa, увaжaвajући зaхтeв дa сви пojeдинaчни зaтвoрeни систeми имajу зaхтeвaни стeпeн пригушeњa ζ. Урaђeнa je синтeзa PDC кoнтрoлeрa кojи кoристи истe функциje припaднoсти кao и фaзи TС мoдeл oбjeктa, у двa случaja. У првoм случajу, PDC кoнтрoлeр je сaстaвљeн oд три лoкaлнa линeaрнa ПС кoнтрoлeрa чиjи су пaрaмeтри oдрeђeни при нултим пoчeтним услoвимa. У другoм случajу, PDC кoнтрoлeр чинe линeaрни кoнтрoлeри чиjи су пaрaмeтри oдрeђeни при нeнултим пoчeтним услoвимa., The doctoral dissertation investigates the synthesis of a proportional-difference-sum (PDS) type control system based on the characteristic polynomial of the full transfer function. The full transfer function makes it possible to obtain accurate results in terms of cancellation of equal zeros and poles, obtaining the characteristic polynomial and determining the full response of the system. At the beginning, the relative stability area in the space of adjustable parameters of the control system is determined so that damping coefficient ζ has the value required in advance. This was done in the case of two adjustable parameters using the examples of PD and PS control systems. In addition, an area of relative stability was found in the case of three adjustable parameters of the PDS control system. In the next step, the method of conditional optimization is implemented using an expression for the output error that includes the simultaneous influence of nonzero initial conditions and the external output, which is made possible by applying a full transfer function. Thus, the optimal parameters of the PDS type linear control systems are found for which the performance index, in the form of the sum of squared errors, has a minimum value.
In the second part of the dissertation, the previously developed method of conditional optimization of linear discrete systems is extended and applied to the class of nonlinear discrete systems, in the form of Takagi-Sugeno (TS) fuzzy systems. For this purpose, the property of the TS fuzzy system was used that the dynamics of a nonlinear system can be expressed using several linear (linearized) systems. The nonlinear Takagi-Sugeno fuzzy model, which credibly describes the behavior of the system over the entire output space, is obtained by interpolating several linear mathematical models.  A synthesis of a PDC (parallel distributed compensation) control system using the same membership functions as the nonlinear Takagi-Sugeno fuzzy model of the plant was performed. Such control system interpolates several local linear control systems. Thanks to the theory of the complete transfer function, the most general and realistic case of conditional optimization of the local linear control systems is considered, where the output error is the result of the simultaneous action of nonzero initial conditions and external input. The optimal parameters for three local linear proportional-sum (PS) controllers at zero and nonzero initial conditions were determined, considering the requirement that all individual closed systems have the required damping coefficient ζ. Synthesis of a PDC controller that uses the same membership functions as the fuzzy TS plant model is made in two cases. In the first case, the PDC controller is composed of three local linear PS controllers whose parameters are determined at zero initial conditions. In the second case, the PDC controller consists of linear controllers whose parameters are determined at nonzero initial conditions.",
publisher = "Univerzitet u Beogradu, Mašinski fakultet",
journal = "Univerzitet u Beogradu, Mašinski fakultet",
title = "Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције, Conditional optimization of discrete-time control systems using the full transfer function",
url = "https://hdl.handle.net/21.15107/rcub_machinery_7416"
}
Zarić, V. R.. (2023). Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције. in Univerzitet u Beogradu, Mašinski fakultet
Univerzitet u Beogradu, Mašinski fakultet..
https://hdl.handle.net/21.15107/rcub_machinery_7416
Zarić VR. Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције. in Univerzitet u Beogradu, Mašinski fakultet. 2023;.
https://hdl.handle.net/21.15107/rcub_machinery_7416 .
Zarić, Vladimir R., "Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције" in Univerzitet u Beogradu, Mašinski fakultet (2023),
https://hdl.handle.net/21.15107/rcub_machinery_7416 .

Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function

Jovanović, Radiša; Zarić, Vladimir; Bučevac, Zoran; Bugarić, Uglješa

(MDPI, 2022)

TY  - JOUR
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
AU  - Bučevac, Zoran
AU  - Bugarić, Uglješa
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4524
AB  - The study proposes a novel method for synthesis of a discrete-time parallel distributed
compensation (PDC) controller for the nonlinear discrete-time Takagi–Sugeno (TS) fuzzy plant model. For each of the fuzzy plant model linear subsystems, a local linear first order proportional-sum (PS) controller is designed. The algebraic technique is used in two-dimensional parameter space, utilizing the characteristic polynomial of the row nondegenerate full transfer function matrix. Each system’s relative stability is accomplished in relation to the selected damping coefficient. The supplementary criterion is the minimal value of the performance index in the form of the sum of squared errors (SSE). However, unlike the traditional technique, output error is influenced by all simultaneous actions on the system: nonzero inputs and nonzero initial conditions. The full transfer function matrix of the system allows for the treatment of simultaneous actions of the input vector and unknown unpredictable initial conditions. In order to show the improvement caused by the application of a new optimization method that considers nonzero initial conditions, a comparison of PDC controllers designed under zero and nonzero initial conditions is given, where the system in both cases starts from the same nonzero initial conditions, which is often the case in practice. The simulation and experimental results on a DC servo motor are shown to demonstrate the suggested method efficiency.
PB  - MDPI
T2  - Applied Sciences
T1  - Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function
EP  - 22
IS  - 7705
SP  - 1
VL  - 12
DO  - 10.3390/app12157705
ER  - 
@article{
author = "Jovanović, Radiša and Zarić, Vladimir and Bučevac, Zoran and Bugarić, Uglješa",
year = "2022",
abstract = "The study proposes a novel method for synthesis of a discrete-time parallel distributed
compensation (PDC) controller for the nonlinear discrete-time Takagi–Sugeno (TS) fuzzy plant model. For each of the fuzzy plant model linear subsystems, a local linear first order proportional-sum (PS) controller is designed. The algebraic technique is used in two-dimensional parameter space, utilizing the characteristic polynomial of the row nondegenerate full transfer function matrix. Each system’s relative stability is accomplished in relation to the selected damping coefficient. The supplementary criterion is the minimal value of the performance index in the form of the sum of squared errors (SSE). However, unlike the traditional technique, output error is influenced by all simultaneous actions on the system: nonzero inputs and nonzero initial conditions. The full transfer function matrix of the system allows for the treatment of simultaneous actions of the input vector and unknown unpredictable initial conditions. In order to show the improvement caused by the application of a new optimization method that considers nonzero initial conditions, a comparison of PDC controllers designed under zero and nonzero initial conditions is given, where the system in both cases starts from the same nonzero initial conditions, which is often the case in practice. The simulation and experimental results on a DC servo motor are shown to demonstrate the suggested method efficiency.",
publisher = "MDPI",
journal = "Applied Sciences",
title = "Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function",
pages = "22-1",
number = "7705",
volume = "12",
doi = "10.3390/app12157705"
}
Jovanović, R., Zarić, V., Bučevac, Z.,& Bugarić, U.. (2022). Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function. in Applied Sciences
MDPI., 12(7705), 1-22.
https://doi.org/10.3390/app12157705
Jovanović R, Zarić V, Bučevac Z, Bugarić U. Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function. in Applied Sciences. 2022;12(7705):1-22.
doi:10.3390/app12157705 .
Jovanović, Radiša, Zarić, Vladimir, Bučevac, Zoran, Bugarić, Uglješa, "Discrete-time system conditional optimization based on Takagi-Sugeno fuzzy model using the full transfer function" in Applied Sciences, 12, no. 7705 (2022):1-22,
https://doi.org/10.3390/app12157705 . .
1
2

Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer

Jovanović, Radiša; Zarić, Vladimir

(Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd, 2022)

TY  - JOUR
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3781
AB  - Even though, it is mostly used by process control engineers, the temperature control remains an important task for researchers. This paper addressed two separate issues concerning model optimization and control. Firstly, the linear models for the three different operating points of the heat flow system were found. From these identified models a Takagi-Sugeno model is obtained using fixed membership functions in the premises of the rules. According to the chosen objective function, parameters in the premise part of Takagi-Sugeno fuzzy model were optimized using the grey wolf algorithm. Furthermore, by using the parallel distributed compensation a fuzzy controller is developed via the fuzzy blending of three proportional + sum controllers designed for each of the operating points. In order to evaluate performance, a comparison is made between the fuzzy controller and local linear controllers. Moreover, the fuzzy controllers from the optimized and initial Takagi-Sugeno plant models are compared. The experimental results on a heat flow platform are presented to validate efficiency of the proposed method.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer
EP  - 2286
IS  - 3
SP  - 2275
VL  - 26
DO  - 10.2298/TSCI210825324J
ER  - 
@article{
author = "Jovanović, Radiša and Zarić, Vladimir",
year = "2022",
abstract = "Even though, it is mostly used by process control engineers, the temperature control remains an important task for researchers. This paper addressed two separate issues concerning model optimization and control. Firstly, the linear models for the three different operating points of the heat flow system were found. From these identified models a Takagi-Sugeno model is obtained using fixed membership functions in the premises of the rules. According to the chosen objective function, parameters in the premise part of Takagi-Sugeno fuzzy model were optimized using the grey wolf algorithm. Furthermore, by using the parallel distributed compensation a fuzzy controller is developed via the fuzzy blending of three proportional + sum controllers designed for each of the operating points. In order to evaluate performance, a comparison is made between the fuzzy controller and local linear controllers. Moreover, the fuzzy controllers from the optimized and initial Takagi-Sugeno plant models are compared. The experimental results on a heat flow platform are presented to validate efficiency of the proposed method.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer",
pages = "2286-2275",
number = "3",
volume = "26",
doi = "10.2298/TSCI210825324J"
}
Jovanović, R.,& Zarić, V.. (2022). Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 26(3), 2275-2286.
https://doi.org/10.2298/TSCI210825324J
Jovanović R, Zarić V. Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer. in Thermal Science. 2022;26(3):2275-2286.
doi:10.2298/TSCI210825324J .
Jovanović, Radiša, Zarić, Vladimir, "Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimizer" in Thermal Science, 26, no. 3 (2022):2275-2286,
https://doi.org/10.2298/TSCI210825324J . .
1
1

Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions

Zarić, Vladimir; Bučevac, Zoran M.; Jovanović, Radiša

(Univ Osijek, Tech Fac, Slavonski Brod, 2022)

TY  - JOUR
AU  - Zarić, Vladimir
AU  - Bučevac, Zoran M.
AU  - Jovanović, Radiša
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3771
AB  - The paper presents a new approach to the design of the classical PD controller for the plant in the closed loop control system. Proposed controller has two unknown adjustable parameters which are designed by the algebraic method in the two dimensional parameter space, by using the newly discovered characteristic polynomial of the row nondegenerate full transfer function matrix. The system relative stability, in regard to the chosen damping coefficient is achieved. The optimality criterion is the minimal value of the performance index and sum of squared error is taken as an objective function. The output error used in the performance index is influenced by all actions on the system at the same time: by nonzero initial conditions and by nonzero inputs. In the classical approach the output error is influenced only by nonzero inputs. Experimental results confirm that by taking into account nonzero initial conditions, an optimal solution is obtained, which is not the case with the classical method where optimization is performed at zero initial conditions.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions
EP  - 207
IS  - 1
SP  - 200
VL  - 29
DO  - 10.17559/TV-20191031145233
ER  - 
@article{
author = "Zarić, Vladimir and Bučevac, Zoran M. and Jovanović, Radiša",
year = "2022",
abstract = "The paper presents a new approach to the design of the classical PD controller for the plant in the closed loop control system. Proposed controller has two unknown adjustable parameters which are designed by the algebraic method in the two dimensional parameter space, by using the newly discovered characteristic polynomial of the row nondegenerate full transfer function matrix. The system relative stability, in regard to the chosen damping coefficient is achieved. The optimality criterion is the minimal value of the performance index and sum of squared error is taken as an objective function. The output error used in the performance index is influenced by all actions on the system at the same time: by nonzero initial conditions and by nonzero inputs. In the classical approach the output error is influenced only by nonzero inputs. Experimental results confirm that by taking into account nonzero initial conditions, an optimal solution is obtained, which is not the case with the classical method where optimization is performed at zero initial conditions.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions",
pages = "207-200",
number = "1",
volume = "29",
doi = "10.17559/TV-20191031145233"
}
Zarić, V., Bučevac, Z. M.,& Jovanović, R.. (2022). Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 29(1), 200-207.
https://doi.org/10.17559/TV-20191031145233
Zarić V, Bučevac ZM, Jovanović R. Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions. in Tehnički vjesnik. 2022;29(1):200-207.
doi:10.17559/TV-20191031145233 .
Zarić, Vladimir, Bučevac, Zoran M., Jovanović, Radiša, "Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions" in Tehnički vjesnik, 29, no. 1 (2022):200-207,
https://doi.org/10.17559/TV-20191031145233 . .
1
1

Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm

Zarić, Vladimir; Perišić, Natalija; Jovanović, Radiša

(Kraljevo: Faculty of Mechanical and Civil Engineering, 2021)

TY  - CONF
AU  - Zarić, Vladimir
AU  - Perišić, Natalija
AU  - Jovanović, Radiša
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4510
AB  - This paper deals with liquid level control as one of the frequent problems in industry. Several classical methods for tuning a PID like controller were applied. Furthermore, parameters for the controller were optimized using grey wolf optimizer. In addition to the classical controller, fuzzy PID like controller has also been designed and optimized using the same optimization algorithm. Experimental results obtained on the tank system are provided.
PB  - Kraljevo: Faculty of Mechanical and Civil Engineering
C3  - The Tennth International Triennial Conference Heavy Machinery HM 2021: Proceedings, Vrnjačka Banja, June 23-25
T1  - Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm
EP  - C30
SP  - C23
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4510
ER  - 
@conference{
author = "Zarić, Vladimir and Perišić, Natalija and Jovanović, Radiša",
year = "2021",
abstract = "This paper deals with liquid level control as one of the frequent problems in industry. Several classical methods for tuning a PID like controller were applied. Furthermore, parameters for the controller were optimized using grey wolf optimizer. In addition to the classical controller, fuzzy PID like controller has also been designed and optimized using the same optimization algorithm. Experimental results obtained on the tank system are provided.",
publisher = "Kraljevo: Faculty of Mechanical and Civil Engineering",
journal = "The Tennth International Triennial Conference Heavy Machinery HM 2021: Proceedings, Vrnjačka Banja, June 23-25",
title = "Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm",
pages = "C30-C23",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4510"
}
Zarić, V., Perišić, N.,& Jovanović, R.. (2021). Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm. in The Tennth International Triennial Conference Heavy Machinery HM 2021: Proceedings, Vrnjačka Banja, June 23-25
Kraljevo: Faculty of Mechanical and Civil Engineering., C23-C30.
https://hdl.handle.net/21.15107/rcub_machinery_4510
Zarić V, Perišić N, Jovanović R. Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm. in The Tennth International Triennial Conference Heavy Machinery HM 2021: Proceedings, Vrnjačka Banja, June 23-25. 2021;:C23-C30.
https://hdl.handle.net/21.15107/rcub_machinery_4510 .
Zarić, Vladimir, Perišić, Natalija, Jovanović, Radiša, "Control of a Liquid Level System Based on Classical and Fuzzy PID Like Controller Using the Grey Wolf Optimization Algorithm" in The Tennth International Triennial Conference Heavy Machinery HM 2021: Proceedings, Vrnjačka Banja, June 23-25 (2021):C23-C30,
https://hdl.handle.net/21.15107/rcub_machinery_4510 .

Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix

Gruyitch, Lyubomir; Bučevac, Zoran M.; Jovanović, Radiša; Zarić, Vladimir

(Univ Zagreb Fac Mechanical Engineering & Naval Architecture, Zagreb, 2021)

TY  - JOUR
AU  - Gruyitch, Lyubomir
AU  - Bučevac, Zoran M.
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3516
AB  - Dynamic systems operate under the simultaneous influence of both the initial conditions and the input vector. There is neither physical nor mathematical justification for ignoring the initial conditions, e.g., in the control optimisation. This paper gives a response to the following question: Is a set of controller parameters which is optimal for the operation of a control system under zero initial conditions also optimal for its operation under non-zero initial conditions? The paper presents a new approach to the design of a classical proportional-differencesum (PDS) controller for a plant in a closed loop control system. The system relative stability with respect to a desired damping coefficient is accomplished. The minimal value of the performance index in the form of the sum of squared errors is the optimality criterion. Unlike the classical approach, the output error used in the performance index is influenced by all actions performed on the system at the same time.
PB  - Univ Zagreb Fac Mechanical Engineering & Naval Architecture, Zagreb
T2  - Transactions of Famena
T1  - Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix
EP  - 62
IS  - 3
SP  - 45
VL  - 45
DO  - 10.21278/TOF.453014220
ER  - 
@article{
author = "Gruyitch, Lyubomir and Bučevac, Zoran M. and Jovanović, Radiša and Zarić, Vladimir",
year = "2021",
abstract = "Dynamic systems operate under the simultaneous influence of both the initial conditions and the input vector. There is neither physical nor mathematical justification for ignoring the initial conditions, e.g., in the control optimisation. This paper gives a response to the following question: Is a set of controller parameters which is optimal for the operation of a control system under zero initial conditions also optimal for its operation under non-zero initial conditions? The paper presents a new approach to the design of a classical proportional-differencesum (PDS) controller for a plant in a closed loop control system. The system relative stability with respect to a desired damping coefficient is accomplished. The minimal value of the performance index in the form of the sum of squared errors is the optimality criterion. Unlike the classical approach, the output error used in the performance index is influenced by all actions performed on the system at the same time.",
publisher = "Univ Zagreb Fac Mechanical Engineering & Naval Architecture, Zagreb",
journal = "Transactions of Famena",
title = "Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix",
pages = "62-45",
number = "3",
volume = "45",
doi = "10.21278/TOF.453014220"
}
Gruyitch, L., Bučevac, Z. M., Jovanović, R.,& Zarić, V.. (2021). Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix. in Transactions of Famena
Univ Zagreb Fac Mechanical Engineering & Naval Architecture, Zagreb., 45(3), 45-62.
https://doi.org/10.21278/TOF.453014220
Gruyitch L, Bučevac ZM, Jovanović R, Zarić V. Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix. in Transactions of Famena. 2021;45(3):45-62.
doi:10.21278/TOF.453014220 .
Gruyitch, Lyubomir, Bučevac, Zoran M., Jovanović, Radiša, Zarić, Vladimir, "Discrete-time system conditional optimisation in the parameter space via the full transfer function matrix" in Transactions of Famena, 45, no. 3 (2021):45-62,
https://doi.org/10.21278/TOF.453014220 . .
1
2

Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer

Zarić, Vladimir; Jovanović, Radiša; Laban, Lara

(Niš : Faculty of Mechanical Engineering, 2020)

TY  - CONF
AU  - Zarić, Vladimir
AU  - Jovanović, Radiša
AU  - Laban, Lara
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4548
AB  - The process industries have continually combated
the problem concerning liquid level control. Effective control
of a system depends largely on the accuracy of the
mathematical model that predicts its dynamic behavior. In
this paper the Takagi-Sugeno fuzzy model for the coupledtank system was acquired based on empirical technique.
Furthermore, a metaheuristic algorithm was used as an
optimizer on the coupled-tank model. Then, a juxtaposition
was made when comparing models which were identified
and optimized, leading to satisfactory results. Experimental
results obtained on the coupled-tank system are provided.
PB  - Niš : Faculty of Mechanical Engineering
C3  - THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020
T1  - Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4548
ER  - 
@conference{
author = "Zarić, Vladimir and Jovanović, Radiša and Laban, Lara",
year = "2020",
abstract = "The process industries have continually combated
the problem concerning liquid level control. Effective control
of a system depends largely on the accuracy of the
mathematical model that predicts its dynamic behavior. In
this paper the Takagi-Sugeno fuzzy model for the coupledtank system was acquired based on empirical technique.
Furthermore, a metaheuristic algorithm was used as an
optimizer on the coupled-tank model. Then, a juxtaposition
was made when comparing models which were identified
and optimized, leading to satisfactory results. Experimental
results obtained on the coupled-tank system are provided.",
publisher = "Niš : Faculty of Mechanical Engineering",
journal = "THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020",
title = "Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4548"
}
Zarić, V., Jovanović, R.,& Laban, L.. (2020). Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020
Niš : Faculty of Mechanical Engineering..
https://hdl.handle.net/21.15107/rcub_machinery_4548
Zarić V, Jovanović R, Laban L. Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020. 2020;.
https://hdl.handle.net/21.15107/rcub_machinery_4548 .
Zarić, Vladimir, Jovanović, Radiša, Laban, Lara, "Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer" in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020 (2020),
https://hdl.handle.net/21.15107/rcub_machinery_4548 .

Modelling and Speed Control in a Series Direct Current (DC) Machines Using Feedback Linearization Approach

Vesović, Mitra; Jovanović, Radiša; Zarić, Vladimir

(Faculty of Mechanical Engineering in Niš, 2020)

TY  - CONF
AU  - Vesović, Mitra
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4512
AB  - In this paper the nonlinear feedback control 
system is presented for the speed control in direct current - 
DC motor. Nonlinear functions of dead zone, Coulomb and 
viscous friction were investigated and used for obtaining the 
mathematical model. The effectiveness and the comparison 
between linear and nonlinear control signal have been 
confirmed using Matlab/Simulink software. From the 
conclusions, based on the experimental results, it is easy to 
see that nonlinear control system is more acceptable and has 
a better performance for speed control. The validity of using 
feedback linearization in DC motors has been proven.
PB  - Faculty of Mechanical Engineering in Niš
PB  - Prof. Dr Nenad T. Pavlović, Dean
C3  - THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10
T1  - Modelling and Speed Control in a Series Direct Current  (DC) Machines Using Feedback Linearization Approach
EP  - 212
SP  - MECHATRONICS AND CONTROL pp. 207
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4512
ER  - 
@conference{
author = "Vesović, Mitra and Jovanović, Radiša and Zarić, Vladimir",
year = "2020",
abstract = "In this paper the nonlinear feedback control 
system is presented for the speed control in direct current - 
DC motor. Nonlinear functions of dead zone, Coulomb and 
viscous friction were investigated and used for obtaining the 
mathematical model. The effectiveness and the comparison 
between linear and nonlinear control signal have been 
confirmed using Matlab/Simulink software. From the 
conclusions, based on the experimental results, it is easy to 
see that nonlinear control system is more acceptable and has 
a better performance for speed control. The validity of using 
feedback linearization in DC motors has been proven.",
publisher = "Faculty of Mechanical Engineering in Niš, Prof. Dr Nenad T. Pavlović, Dean",
journal = "THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10",
title = "Modelling and Speed Control in a Series Direct Current  (DC) Machines Using Feedback Linearization Approach",
pages = "212-MECHATRONICS AND CONTROL pp. 207",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4512"
}
Vesović, M., Jovanović, R.,& Zarić, V.. (2020). Modelling and Speed Control in a Series Direct Current  (DC) Machines Using Feedback Linearization Approach. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10
Faculty of Mechanical Engineering in Niš., MECHATRONICS AND CONTROL pp. 207-212.
https://hdl.handle.net/21.15107/rcub_machinery_4512
Vesović M, Jovanović R, Zarić V. Modelling and Speed Control in a Series Direct Current  (DC) Machines Using Feedback Linearization Approach. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10. 2020;:MECHATRONICS AND CONTROL pp. 207-212.
https://hdl.handle.net/21.15107/rcub_machinery_4512 .
Vesović, Mitra, Jovanović, Radiša, Zarić, Vladimir, "Modelling and Speed Control in a Series Direct Current  (DC) Machines Using Feedback Linearization Approach" in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10 (2020):MECHATRONICS AND CONTROL pp. 207-212,
https://hdl.handle.net/21.15107/rcub_machinery_4512 .

Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm

Jovanović, Radiša; Zarić, Vladimir; Vesović, Mitra; Laban, Lara

(Belgrade : Društvo za ETRAN, 2020)

TY  - CONF
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
AU  - Vesović, Mitra
AU  - Laban, Lara
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4500
AB  - The liquid level control remains an important task for research and is used by process control engineers. Linear models for the tank system were obtained based on empirical techniques. From these identified linear models Takagi-Sugeno model was obtained and later a fuzzy controller was designed based on the parallel distributed compensation method (PDC). A comparison was made between local linear PI controllers and the parallel distributed compensation controller. The evaluation criteria which was considered in this paper is the step response. In addition to all of the above stated, the whale optimization algorithm is implemented to fine tune parameters and to obtain optimized Takagi-Sugeno plant model. Moreover, the PDC from optimized model is compared to the first parallel distributed controller, which was based on identified models.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm
EP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202
SP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4500
ER  - 
@conference{
author = "Jovanović, Radiša and Zarić, Vladimir and Vesović, Mitra and Laban, Lara",
year = "2020",
abstract = "The liquid level control remains an important task for research and is used by process control engineers. Linear models for the tank system were obtained based on empirical techniques. From these identified linear models Takagi-Sugeno model was obtained and later a fuzzy controller was designed based on the parallel distributed compensation method (PDC). A comparison was made between local linear PI controllers and the parallel distributed compensation controller. The evaluation criteria which was considered in this paper is the step response. In addition to all of the above stated, the whale optimization algorithm is implemented to fine tune parameters and to obtain optimized Takagi-Sugeno plant model. Moreover, the PDC from optimized model is compared to the first parallel distributed controller, which was based on identified models.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm",
pages = "SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4500"
}
Jovanović, R., Zarić, V., Vesović, M.,& Laban, L.. (2020). Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202.
https://hdl.handle.net/21.15107/rcub_machinery_4500
Jovanović R, Zarić V, Vesović M, Laban L. Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202.
https://hdl.handle.net/21.15107/rcub_machinery_4500 .
Jovanović, Radiša, Zarić, Vladimir, Vesović, Mitra, Laban, Lara, "Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202,
https://hdl.handle.net/21.15107/rcub_machinery_4500 .

CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS

Laban, Lara; Jovanović, Radiša; Vesović, Mitra; Zarić, Vladimir

(Belgrade : Društvo za ETRAN, 2020)

TY  - CONF
AU  - Laban, Lara
AU  - Jovanović, Radiša
AU  - Vesović, Mitra
AU  - Zarić, Vladimir
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4496
AB  - In this paper a comparison between three different
types of trained VGG convolutional neural networks (CNNs) is
proposed for the classification of a pediatric chest X-ray image
data set. A deep convolutional neural network with an
architecture resembling the VGGNet is presented using dropout,
decay and data scaling. Since the dataset had a class imbalance,
this was solved using a simple method called data scaling. The
training of the neural network was done using small batches with
a binary cross entropy loss function. The same neural network
was then implemented adding batch normalization layers, and
comparisons were made. Furthermore, the chest X-ray dataset
was also trained using transfer learning with a pre-trained
neural network VGG16 on the ImageNet dataset. Later on
juxtapositions were made on using both techniques. Additionally,
in applying these methods we were able to achieve a classification
with the accuracy higher than 0.95 and 0.97 for the training and
validation datasets, whilst incorporating only 30 epochs.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS
EP  - SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23
SP  - SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4496
ER  - 
@conference{
author = "Laban, Lara and Jovanović, Radiša and Vesović, Mitra and Zarić, Vladimir",
year = "2020",
abstract = "In this paper a comparison between three different
types of trained VGG convolutional neural networks (CNNs) is
proposed for the classification of a pediatric chest X-ray image
data set. A deep convolutional neural network with an
architecture resembling the VGGNet is presented using dropout,
decay and data scaling. Since the dataset had a class imbalance,
this was solved using a simple method called data scaling. The
training of the neural network was done using small batches with
a binary cross entropy loss function. The same neural network
was then implemented adding batch normalization layers, and
comparisons were made. Furthermore, the chest X-ray dataset
was also trained using transfer learning with a pre-trained
neural network VGG16 on the ImageNet dataset. Later on
juxtapositions were made on using both techniques. Additionally,
in applying these methods we were able to achieve a classification
with the accuracy higher than 0.95 and 0.97 for the training and
validation datasets, whilst incorporating only 30 epochs.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS",
pages = "SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4496"
}
Laban, L., Jovanović, R., Vesović, M.,& Zarić, V.. (2020). CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23.
https://hdl.handle.net/21.15107/rcub_machinery_4496
Laban L, Jovanović R, Vesović M, Zarić V. CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23.
https://hdl.handle.net/21.15107/rcub_machinery_4496 .
Laban, Lara, Jovanović, Radiša, Vesović, Mitra, Zarić, Vladimir, "CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23,
https://hdl.handle.net/21.15107/rcub_machinery_4496 .

MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH

Vesović, Mitra; Jovanović, Radiša; Laban, Lara; Zarić, Vladimir

(Belgrade : Društvo za ETRAN, 2020)

TY  - CONF
AU  - Vesović, Mitra
AU  - Jovanović, Radiša
AU  - Laban, Lara
AU  - Zarić, Vladimir
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4492
AB  - The nonlinear feedback control system applied to the
direct current - DC motor is proposed in this research. Nonlinear
mathematical model has been obtained using dead zone, Coulomb
and viscous friction. The system stability has been analyzed using
Lyapunov stability theory. The effectiveness and the comparison
of the performance between linear and nonlinear control
algorithm have been validated using Matlab/Simulink software.
From the conclusions, based on the simulation and experimental
results that have been provided, it is easy to see that nonlinear
control systems are more suitable and have a better reach for
controlling position. The validity of using feedback linearization
in DC motors has been proven.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH
EP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196
SP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4492
ER  - 
@conference{
author = "Vesović, Mitra and Jovanović, Radiša and Laban, Lara and Zarić, Vladimir",
year = "2020",
abstract = "The nonlinear feedback control system applied to the
direct current - DC motor is proposed in this research. Nonlinear
mathematical model has been obtained using dead zone, Coulomb
and viscous friction. The system stability has been analyzed using
Lyapunov stability theory. The effectiveness and the comparison
of the performance between linear and nonlinear control
algorithm have been validated using Matlab/Simulink software.
From the conclusions, based on the simulation and experimental
results that have been provided, it is easy to see that nonlinear
control systems are more suitable and have a better reach for
controlling position. The validity of using feedback linearization
in DC motors has been proven.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH",
pages = "SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4492"
}
Vesović, M., Jovanović, R., Laban, L.,& Zarić, V.. (2020). MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196.
https://hdl.handle.net/21.15107/rcub_machinery_4492
Vesović M, Jovanović R, Laban L, Zarić V. MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196.
https://hdl.handle.net/21.15107/rcub_machinery_4492 .
Vesović, Mitra, Jovanović, Radiša, Laban, Lara, Zarić, Vladimir, "MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196,
https://hdl.handle.net/21.15107/rcub_machinery_4492 .

Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions

Zarić, Vladimir; Bučevac, Zoran; Jovanović, Radiša

(Kraljevo : Faculty of Mechanical and Civil Engineering, 2017)

TY  - CONF
AU  - Zarić, Vladimir
AU  - Bučevac, Zoran
AU  - Jovanović, Radiša
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4529
AB  - The aim of this paper is to present effect of initial conditions on choice of optimal parameters in computer automatic
control system of an selected actual plant. Considering is made in a parameter plane wherein the area of formerly
guaranteed relative damping coefficient of all closed-loop poles is separated. A performance index is chosen to be sum of
error squared (SSE), taking into account of arbitrary initial conditions.
Experimental results obtained on coupled-tanks plant are provided.
PB  - Kraljevo : Faculty of Mechanical and Civil Engineering
C3  - The 9th International Triennial Conference Heavy Machinery HM 2017 : Proceedings, Zlatibor  28 June – 1 July 2017
T1  - Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions
EP  - C12
SP  - C7
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4529
ER  - 
@conference{
author = "Zarić, Vladimir and Bučevac, Zoran and Jovanović, Radiša",
year = "2017",
abstract = "The aim of this paper is to present effect of initial conditions on choice of optimal parameters in computer automatic
control system of an selected actual plant. Considering is made in a parameter plane wherein the area of formerly
guaranteed relative damping coefficient of all closed-loop poles is separated. A performance index is chosen to be sum of
error squared (SSE), taking into account of arbitrary initial conditions.
Experimental results obtained on coupled-tanks plant are provided.",
publisher = "Kraljevo : Faculty of Mechanical and Civil Engineering",
journal = "The 9th International Triennial Conference Heavy Machinery HM 2017 : Proceedings, Zlatibor  28 June – 1 July 2017",
title = "Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions",
pages = "C12-C7",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4529"
}
Zarić, V., Bučevac, Z.,& Jovanović, R.. (2017). Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions. in The 9th International Triennial Conference Heavy Machinery HM 2017 : Proceedings, Zlatibor  28 June – 1 July 2017
Kraljevo : Faculty of Mechanical and Civil Engineering., C7-C12.
https://hdl.handle.net/21.15107/rcub_machinery_4529
Zarić V, Bučevac Z, Jovanović R. Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions. in The 9th International Triennial Conference Heavy Machinery HM 2017 : Proceedings, Zlatibor  28 June – 1 July 2017. 2017;:C7-C12.
https://hdl.handle.net/21.15107/rcub_machinery_4529 .
Zarić, Vladimir, Bučevac, Zoran, Jovanović, Radiša, "Conditional optimization of computer automatic control system of an selected plant at arbitrary initial conditions" in The 9th International Triennial Conference Heavy Machinery HM 2017 : Proceedings, Zlatibor  28 June – 1 July 2017 (2017):C7-C12,
https://hdl.handle.net/21.15107/rcub_machinery_4529 .