Neural networks applications in mechanical systems
Abstract
The impossibility of the precise modeling of physical processes has demanded for the control of processes with unknown both by their structure and their parameters. High-quality control can be achieved only by a controlling system which will be able, during its work, to adjust its response according to the act of input and disturbing quantities. Neural networks appear to be one of these controlling systems. The possibility of their training can be considered using Lyapunov's stability theory. In this paper the preparation of the model of object (mechanical system) for neural networks control is pointed out.
Source:
Neural Network World, 1995, 5, 2, 183-189Publisher:
- VSP Int Sci Publ, Zeist, Netherlands
Collections
Institution/Community
Mašinski fakultetTY - JOUR AU - Mitrović, Zoran PY - 1995 UR - https://machinery.mas.bg.ac.rs/handle/123456789/130 AB - The impossibility of the precise modeling of physical processes has demanded for the control of processes with unknown both by their structure and their parameters. High-quality control can be achieved only by a controlling system which will be able, during its work, to adjust its response according to the act of input and disturbing quantities. Neural networks appear to be one of these controlling systems. The possibility of their training can be considered using Lyapunov's stability theory. In this paper the preparation of the model of object (mechanical system) for neural networks control is pointed out. PB - VSP Int Sci Publ, Zeist, Netherlands T2 - Neural Network World T1 - Neural networks applications in mechanical systems EP - 189 IS - 2 SP - 183 VL - 5 UR - https://hdl.handle.net/21.15107/rcub_machinery_130 ER -
@article{ author = "Mitrović, Zoran", year = "1995", abstract = "The impossibility of the precise modeling of physical processes has demanded for the control of processes with unknown both by their structure and their parameters. High-quality control can be achieved only by a controlling system which will be able, during its work, to adjust its response according to the act of input and disturbing quantities. Neural networks appear to be one of these controlling systems. The possibility of their training can be considered using Lyapunov's stability theory. In this paper the preparation of the model of object (mechanical system) for neural networks control is pointed out.", publisher = "VSP Int Sci Publ, Zeist, Netherlands", journal = "Neural Network World", title = "Neural networks applications in mechanical systems", pages = "189-183", number = "2", volume = "5", url = "https://hdl.handle.net/21.15107/rcub_machinery_130" }
Mitrović, Z.. (1995). Neural networks applications in mechanical systems. in Neural Network World VSP Int Sci Publ, Zeist, Netherlands., 5(2), 183-189. https://hdl.handle.net/21.15107/rcub_machinery_130
Mitrović Z. Neural networks applications in mechanical systems. in Neural Network World. 1995;5(2):183-189. https://hdl.handle.net/21.15107/rcub_machinery_130 .
Mitrović, Zoran, "Neural networks applications in mechanical systems" in Neural Network World, 5, no. 2 (1995):183-189, https://hdl.handle.net/21.15107/rcub_machinery_130 .