DocumentCode
2109778
Title
Feedback stabilization: control Lyapunov functions modelled by neural networks
Author
Long, Y. ; Bayoumi, M.M.
Author_Institution
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
fYear
1993
fDate
15-17 Dec 1993
Firstpage
2812
Abstract
This paper deals with the state feedback stabilization problem of nonlinear affine systems. Our purpose is to provide a method for constructing a control Lyapunov function via neural networks. The Lyapunov function is then used explicitly in the feedback controller to stabilize the dynamic system
Keywords
Lyapunov methods; closed loop systems; feedback; neural nets; nonlinear systems; stability; Lyapunov functions; closed loop systems; dynamic system; neural networks; nonlinear affine systems; state feedback stabilization; system modelling; Adaptive control; Control system synthesis; Control systems; Lyapunov method; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Open loop systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-1298-8
Type
conf
DOI
10.1109/CDC.1993.325708
Filename
325708
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