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 :
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