DocumentCode
2047159
Title
Multivariable system decoupling through neural networks precompensation
Author
Gálvez, J.M. ; Fonseca, M.O.
Author_Institution
dept. of Mech. Eng., Fed. Univ. of Minas Gerais, Brazil
Volume
1
fYear
1996
fDate
18-21 Aug 1996
Firstpage
495
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
compensation; multivariable control systems; neurocontrollers; cross-coupling; multivariable control design; multivariable output feedback controller; multivariable system decoupling; neural network precompensation; simulation; 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
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location
Ames, IA
Print_ISBN
0-7803-3636-4
Type
conf
DOI
10.1109/MWSCAS.1996.594210
Filename
594210
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