The strategy of quasi-sliding mode variable structure control with RBF neural network acting on the large time-delay system

Author

Yahui, Wang ; Peixin, Cheng ; Yadan, Zhao ; Tong, Zhang

Author_Institution

Dept. of Electr. & Inf. Eng., Beijing Univ. of Civil Eng. & Archit., Beijing

fYear

2008

fDate

16-18 July 2008

Firstpage

150

Lastpage

153

Abstract

In this paper, a quasi-sliding mode variable structure control algorithm is combined with RBF neural network. So, the strong robustness of the quasi-sliding mode variable structure algorithm and the property of adaptive learning supplying from RBF neural network algorithm are combined. The algorithm is subsequent inducted into the large time-delay system. Simulation results show that the strategy is feasible and effective under the certain conditions.

Keywords

adaptive control; delay systems; delays; learning systems; neurocontrollers; radial basis function networks; robust control; variable structure systems; RBF neural network; adaptive learning property; large time-delay system; quasi sliding mode variable structure control; radial basis function network; robustness; Civil engineering; Control systems; Electric variables control; Electronic mail; Hydrogen; Neural networks; Robustness; Sliding mode control; RBF neural network; Sliding mode variable structure control; Time-delay system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605259

Filename

4605259