Title :
Recurrent TS Fuzzy Neural Network and Its Application on Controlling Nonlinear Time-Delay Systems
Author :
Chian-Song Chiu ; Chiang, Tung-sheng
Author_Institution :
Dept. of Electron. Eng., Chien-Kuo Technol. Univ., Changhua
Abstract :
This paper proposes a TS recurrent fuzzy neural network (RFNN) and a robust RFNN control of uncertain nonlinear time-delay systems. First, the TS-RFNN is proposed to learn complex functions with delays. Next, the robust adaptive TS-RFNN control is developed for time-delay nonlinear systems. The advantages of the proposed controller includes: i) asymptotic stability independent on the delay; ii) more simple and legible gain design; and iii) simpler structure of FNN (fewer fuzzy rules). Simulation results demonstrate the validity of the proposed control scheme
Keywords :
adaptive control; asymptotic stability; delay systems; neurocontrollers; nonlinear control systems; recurrent neural nets; robust control; uncertain systems; asymptotic stability; nonlinear time-delay systems; recurrent TS fuzzy neural network; robust RFNN control; robust adaptive TS-RFNN control; uncertain systems; Adaptive control; Asymptotic stability; Control systems; Delay; Fuzzy control; Fuzzy neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control; FNN; robust control; time-delay system; uncertainty;
Conference_Titel :
Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0703-6
DOI :
10.1109/FOCI.2007.371512