文献类型：期刊文献

英文题名：Adaptive quantised control of switched stochastic strict-feedback non-linear systems with asymmetric input saturation

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

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

年份：2018

卷号：12

期号：10

起止页码：1367

外文期刊名：IET CONTROL THEORY AND APPLICATIONS

收录：;EI(收录号：20182505338427);WOS:【SCI-EXPANDED(收录号:WOS:000437309000001)】；

基金：The authors thank the editors and reviewers for their valuable comments and kind help. This work is partly supported by Natural Science Foundation of P. R. China (grant nos. 61304071, 71271132, and 61673178), Shanghai International Science and Technology Cooperation Project (grant no. 15220710700), Shanghai Pujiang Program (grant no. 15PJC049), Shanghai Shuguang Project (grant no. 16SG28), Shanghai Natural Science Foundation (grant no. 17ZR1444700), and the Fundamental Research Funds for the Central Universities (grant nos. 222201714055 and 222201717006).

语种：英文

外文关键词：nonlinear control systems; control nonlinearities; stochastic systems; Lyapunov methods; neurocontrollers; linear systems; adaptive control; feedback; control system synthesis; uncertain systems; closed loop systems; approximation theory; switching asymmetric saturation nonlinearities; sector-bounded quantisation errors; common Lyapunov function method; simple common adaptive tracking control scheme; adaptive parameter; arbitrary switching; closed-loop system; tracking error; strict-feedback nonlinear systems; asymmetric input saturation; adaptive quantised tracking problem; asymmetrical input saturation; Gaussian error function; continuous differentiable switching model

摘要：The adaptive quantised tracking problem is addressed for a class of switched stochastic strict-feedback non-linear systems with asymmetrical input saturation in this study. With the aid of a Gaussian error function-based continuous differentiable switching model and some special techniques, the technical difficulties from dealing with the switching asymmetric saturation non-linearities and the sector-bounded quantisation errors are overcome. Then, by combining the common Lyapunov function method, backstepping technique and neural network approximation-based approach, a simple common adaptive tracking control scheme involving one adaptive parameter only is presented for such systems under arbitrary switching. The given quantised control scheme guarantees that all signals of the closed-loop system are semi-globally bounded in probability while the tracking error can converge to a small neighbourhood of the origin. Finally, simulation studies are provided to illustrate the effectiveness and applicability of the proposed control design.