文献类型：期刊文献

英文题名：Adaptive tracking control for switched strict-feedback nonlinear systems with time-varying delays and asymmetric saturation actuators

作者：Yu, Zhaoxu[1];Dong, Yan[1];Li, Shugang[2];Li, Fangfei[3]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Univ, Dept Informat Management, Shanghai 200444, Peoples R China;[3]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China

年份：2017

卷号：238

起止页码：245

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20170803359483);WOS:【SCI-EXPANDED(收录号:WOS:000397372100023)】；

基金：The authors are grateful to the editors and reviewers for their valuable comments and kind help. This work is partly supported by National Natural Science Foundation of China under Grant numbers 61304071, 61403139 and 71271132, and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Switched nonlinear system; Time delay; Asymmetric saturation actuator; Adaptive control; Lyapunov Razumikhin method

摘要：This paper focuses on the problem of adaptive tracking control for a class of switched strict-feedback nonlinear systems with unknown time-varying delays and asymmetric saturation actuators under arbitrary switching. Especially, the considered time-varying delays absolutely depend on the subsystem number. The main technical difficulties lie in finding an appropriate common Lyapunov function (CLF) for all subsystems and designing a common adaptive control scheme in the presence of unknown time-varying delays and asymmetric saturation nonlinearities. Based on a novel combination of Lyapunov Razumikhin method, dynamic surface control (DSC) technique, variable separation approach and neural network (NN) approximation, a simple quadratical CLF is constructed and a common adaptive control scheme involving only one adaptive parameter is developed. The proposed controller guarantees that all signals of closed loop system are semi-globally uniformly ultimately bounded (SGUUB) while the tracking error converges to an adjustable neighborhood of the origin. Finally, the effectiveness of the design methodology is illustrated with two simulation examples. (C) 2017 Elsevier B.V. All rights reserved.