文献类型：期刊文献

英文题名：Adaptive neural control for a class of nonlinearly parametric time-delay systems

作者：Ho, Daniel W.C.[1]; Li, Junmin[2]; Niu, Yugang[3]

机构：[1]City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R China;[2]Xidian Univ, Dept Math Appl, Xian 710071, Peoples R China;[3]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2005

卷号：16

期号：3

起止页码：625

外文期刊名：IEEE TRANSACTIONS ON NEURAL NETWORKS

收录：;EI(收录号：2005239139825);WOS:【SCI-EXPANDED(收录号:WOS:000228909900011)】；

语种：英文

外文关键词：adaptive neural control; nonlinear time-delay system; wavelet neural network (WNN)

摘要：In this paper, an adaptive neural controller for a class of time-delay nonlinear systems with unknown non-linearities is proposed. Based on a wavelet neural network (WNN) online approximation model, a state feedback adaptive controller is obtained by constructing a novel integral-type Lyapunov-Krasovskii functional, which also efficiently overcomes the controller singularity problem. It is shown that the proposed method guarantees the semiglobal boundedness of all signals in the adaptive closed-loop systems. An example is provided to illustrate the application of the approach.