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
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;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.594210
