文献类型：期刊文献

英文题名：Approximation-Based Adaptive Tracking Control for Switched Stochastic Strict-Feedback Nonlinear Time-Delay Systems With Sector-Bounded Quantization Input

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

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

年份：2018

卷号：48

期号：12

起止页码：2145

外文期刊名：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录：;EI(收录号：20173704162209);WOS:【SCI-EXPANDED(收录号:WOS:000450617000012)】；

基金：This work was supported in part by the Natural Science Foundation of China under Grant 61304071, Grant 61673178, and Grant 71271132, in part by the Shanghai International Science and Technology Cooperation Project under Grant 15220710700, in part by the Shanghai Shuguang Project under Grant 16SG28, in part by the Shanghai Natural Science Foundation under Grant 17ZR1444700, and in part by the Fundamental Research Funds for the Central Universities under Grant 222201714055 and Grant 222201717006.

语种：英文

外文关键词：Adaptive control; Lypaunov-Razumikhin method; sector-bounded quantizer; switched stochastic nonlinear system; time delay

摘要：This paper addresses the adaptive tracking problem for a class of uncertain switched stochastic strict-feedback non-linear systems with both sector-bounded quantization input and unknown time-varying delays under arbitrary switching. Major design difficulties for such systems, in which all the time-varying delays absolutely depend on the subsystem number, come from finding a common Lyapunov function (CLF) for all subsystems and dealing with the sector-bounded quantization error. The Lyapunov-Razumikhin method is employed to construct a suitable CLF for all subsystems and relax the restrictions on the time-varying delays. Moreover, some new techniques are presented to overcome the difficulty from the sector-bounded quantization error. With the application of backstepping technique, variable separation technique and fuzzy logic system approximation, a common adaptive tracking control scheme containing only one adaptive parameter is proposed for this class of systems. The derived quantized control scheme ensures that the tracking error remains in a small neighborhood of the origin via the appropriate adjustment of design parameters while all the signals in closed loop system are bounded in probability. Finally, two simulation examples are provided to illustrate the feasibility and applicability of the proposed control design.