DocumentCode
3487042
Title
Optimal feedback control of nonlinear systems using a neural network
Author
Yeap, T.H.
Author_Institution
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Volume
2
fYear
1995
fDate
5-8 Sep 1995
Firstpage
726
Abstract
A novel approach that simplifies the problem of finding the optimum feedback control law using a multilayer feed-forward neural network is presented. The network can be trained using a weight adjustment algorithm derived directly from the integral form of Pontryagin´s minimum principle to minimize a certain cost function. The capability of the proposed approach is demonstrated by controlling the attitude of a rigid body satellite in geosynchronous orbit
Keywords
cost optimal control; feedback; feedforward neural nets; minimum principle; multilayer perceptrons; neurocontrollers; nonlinear control systems; Pontryagin´s minimum principle; cost function minimization; geosynchronous orbit; multilayer feed-forward neural network; nonlinear systems; optimal feedback control; rigid body satellite attitude control; weight adjustment algorithm; Adaptive control; Cost function; Feedback control; Feedforward systems; Neural networks; Nonlinear equations; Nonlinear systems; Open loop systems; Optimal control; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.526306
Filename
526306
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