文献类型：期刊文献

英文题名：Adaptive neural control for a class of pure-feedback nonlinear time-delay systems with asymmetric saturation actuators

作者：Yu, Zhaoxu[1];Li, Shugang[2];Yu, Zhaosheng[3]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China;[3]S China Univ Technol, Sch Elect Power, Guangzhou 510640, Peoples R China

年份：2016

卷号：173

起止页码：1461

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20154501494035);WOS:【SCI-EXPANDED(收录号:WOS:000366879800099)】；

基金：The authors would like to thank the editors and reviewers for their kind help and comments. This work is partly supported by Natural Science Foundation of PR China under Grant numbers 61304071 and 71271132, and the Natural Science Foundation of Shanghai under Grant number 12ZR1408200, the Fundamental Research Funds for the Central Universities and the CSC Scholarship.

语种：英文

外文关键词：Nonlinear system; Neural network; Time-varying delay; Asymmetric saturation actuator; Razumikhin lemma

摘要：This paper addresses the problem of adaptive tracking control for a class of uncertain pure-feedback nonlinear time-delay systems with unknown asymmetric saturation actuators. The considered problem is challenging due to the existence of unknown distributed time-varying delays and asymmetric saturation actuator. In particular, the difficulties from distributed time-varying delays and unknown asymmetric saturation nonlinearity are processed by using the mean value theorem for integrals and a Gaussian error function-based continuous differentiable model, respectively. Then, based on a novel combination of mean value theorem, Razumikhin functional method, variable separation technique and Neural Network (NN) parameterization, an adaptive neural controller which involves only one parameter to be updated is presented for such systems via Dynamic Surface Control (DSC) technique. Moreover, the DSC technique can overcome the problem of 'explosion of complexity' in the traditional backstepping design. All signals in the closed-loop system remain semi-globally uniformly ultimately bounded (SGUUB), and the tacking error converges to a small neighborhood of the origin. Finally, simulation results are given to verify the effectiveness of the proposed design. (C) 2015 Elsevier B.V. All rights reserved.