Title :
Tracking Stabilization For A Class Of Switched Nonlinear Systems With Time Delay Based On RBF Neural Networks
Author :
Long, Fei ; Fei, Shumin
Author_Institution :
Dept. of Autom. control, Southeast Univ., Nanjing
Abstract :
An adaptive feedback control scheme and a switching strategy for the output tracking stabilization of switched nonlinear systems with time-delay are presented by using RBF (radial basis function) neural network The RBF neural networks is used to compensate adaptively for the unknown nonlinear parts of switched nonlinear systems, and the approximation errors of RBF neural networks are introduced to the adaptive law in order to improve the tracking quality of the systems. The controller and switching strategy can guarantee asymptotic stability of tracking error for the overall system
Keywords :
adaptive control; asymptotic stability; delays; feedback; neurocontrollers; nonlinear control systems; radial basis function networks; time-varying systems; RBF neural networks; adaptive feedback control; asymptotic stability; output tracking stabilization; radial basis function neural network; switched nonlinear system; time delay; Adaptive control; Adaptive systems; Approximation error; Asymptotic stability; Control systems; Delay effects; Feedback control; Neural networks; Nonlinear systems; Programmable control;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614772
