DocumentCode
3448570
Title
Adaptive neural network-based sliding mode control for nonlinear uncertain systems with time-varying delay
Author
Li, Juntao ; Li, Xinlei ; Wang, Hongjun ; Li, Wenlin
Author_Institution
Coll. of Math. & Inf. Sci., Henan Normal Univ., XinXiang, China
Volume
2
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
865
Lastpage
869
Abstract
This paper presents an adaptive-neural-network-based sliding mode control scheme for a class of nonlinear systems with unknown time-varying delay. Incorporating H∞ control technique and adaptive neural network method into sliding-mode control approach, adaptive sliding-mode controllers are designed for guaranteeing the H∞ performance of the closed-loop systems. One of the prominent advantages of the proposed scheme is that the nonlinear uncertainties are free of the matching condition and the linear boundary condition. Simulation results illustrate the obtained results.
Keywords
H∞ control; closed loop systems; delays; neurocontrollers; nonlinear control systems; uncertain systems; variable structure systems; H∞ control technique; adaptive neural network; closed loop systems; nonlinear uncertain systems; sliding mode control; time varying delay; Adaptation model; H∞ control; Nonlinear time-delay system; fuzzy neural network; sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658746
Filename
5658746
Link To Document