Title :
An adaptive controller for a class of nonlinear system using direction basis function
Author :
Cao, W.M. ; Feng, Hua ; Zhang, D.M. ; Wang, S.J.
Author_Institution :
Inst. of Intelligent Inf. Syst., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
Adaptive controllers are investigated, using the direction basis function (DBF), for a class of nonlinear dynamical systems. Based on the criterion of Lyapunov stability, the DBF is designed which guarantees that the output of the controlled system asymptotically tracks the reference signals. Simulation shows the good tracking effectiveness of the adaptive controller.
Keywords :
adaptive control; feedforward neural nets; learning (artificial intelligence); nonlinear systems; tracking; DBF neural networks; Lyapunov stability criterion; adaptive controller; direction basis function nets; feedfoward nets; nonlinear dynamical systems; nonlinear systems; training signal; Adaptive control; Adaptive systems; Control systems; Error correction; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Programmable control; Signal design;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180982
