Title :
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
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;
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
DOI :
10.1109/CHICC.2008.4605259
