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
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