Gruyitch, Lyubomir

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  • Gruyitch, Lyubomir (1)
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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 . .
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