DocumentCode
3443934
Title
Adaptive NN-based Controller Design for a Class of Time-delay Nonlinear Systems
Author
Li, Shurong ; Xue, Xiuli ; Yang, Qing
Author_Institution
China Univ. of Pet., Dongying
fYear
2007
fDate
23-25 May 2007
Firstpage
994
Lastpage
999
Abstract
This paper investigates the problem of adaptive wavelet neural network (WNN)-based controller design for a class of parameter strict feedback (PSF) Time-delay nonlinear systems. By constructing a Lyapunov-Krasovskii functional and using the backstepping procedure, an adaptive controller is developed. It is proved that the proposed method is able to guarantee the semiglobally uniformly ultimate boundedness (SGUUB) of all signals in the closed-loop system.1
Keywords
Lyapunov methods; adaptive control; closed loop systems; neural nets; nonlinear systems; Lyapunov-Krasovskii function; adaptive NN-based controller; adaptive controller; adaptive wavelet neural network; backstepping; closed-loop system; parameter strict feedback; semiglobally uniformly ultimate boundedness; time-delay nonlinear systems; Adaptive control; Control systems; Industrial electronics; Nonlinear control systems; Nonlinear systems; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318557
Filename
4318557
Link To Document