Adaptive Neural Network-Based Sliding Mode Control for Nonlinear Uncertain Systems with Time-varying Delay
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 con trollers 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.
Nonlinear time-delay system sliding mode control H∞ control fuzzy neural network
Juntao Li Xinlei Li Hongjun Wang Wenlin Li
College of Mathematics and information Science,Henan Normal University,XinXiang,453007,China Henan Normal University,XinXiang,453007,China
国际会议
厦门
英文
865-869
2010-10-29(万方平台首次上网日期,不代表论文的发表时间)