Title :
A neurocontroller to stabilize a specific class of nonlinear control systems
Author :
Bayoumi, M.M. ; Long, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
fDate :
27 Jun-2 Jul 1994
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 that will be used to stabilize such a system using the neural network approach
Keywords :
Lyapunov methods; neural nets; neurocontrollers; nonlinear control systems; stability; state feedback; Lyapunov function; neural network; neurocontroller; nonlinear affine systems; nonlinear control systems; stability; stabilization; state feedback; Adaptive control; Control system synthesis; Control systems; Lyapunov method; Neural networks; Neurocontrollers; Neurofeedback; Nonlinear control systems; Nonlinear systems; Open loop systems;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.375043