DocumentCode :
3462236
Title :
Neural network based decoupling control for multivariable systems
Author :
Gálvez, J.M. ; Fonseca, M.O.
Author_Institution :
Dept. of Mech. Eng., Univ. Federal de Minas Gerais, Belo Horizonte, Brazil
Volume :
2
fYear :
1996
fDate :
13-16 Oct 1996
Firstpage :
655
Abstract :
A major difficulty in multivariable control design is the cross-coupling between inputs and outputs which obscures the effects of a specific controller on the overall behavior of the system. This paper considers the application of neural networks in decoupling multivariable output feedback controllers. Simulation results are presented to show the feasibility of the proposed technique
Keywords :
feedback; multivariable control systems; neurocontrollers; input/output cross-coupling; multivariable systems; neural network based decoupling control; output feedback controllers; system overall behavior; Control design; Control systems; Frequency domain analysis; MIMO; Mechanical engineering; Neural networks; Neurons; Optimal control; Robust control; Robust stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
Type :
conf
DOI :
10.1109/ICECS.1996.584447
Filename :
584447
Link To Document :
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