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
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;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325708
