文献类型：期刊文献

英文题名：Asynchronous sliding mode control of Markovian jump systems with time-varying delays and partly accessible mode detection probabilities

作者：Song, Jun[1];Niu, Yugang[1];Zou, Yuanyuan[2]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Automat, Shanghai, Peoples R China

年份：2018

卷号：93

起止页码：33

外文期刊名：AUTOMATICA

收录：;EI(收录号：20181404974750);WOS:【SCI-EXPANDED(收录号:WOS:000436916200005)】；

基金：This work was supported in part by the National Natural Science Foundation of China (Grant No. 61673174, 61773162), and the 111 Project (B17017) from China. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Michael V. Basin under the direction of Editor Ian R. Petersen.

语种：英文

外文关键词：Markovian jump system; Sliding mode control; Asynchronous; Hidden Markov process

摘要：In this work, the problem of asynchronous sliding mode control (SMC) is investigated for a class of uncertain Markovian jump systems (MJSs) with time-varying delays and stochastic perturbation. It is assumed that the system modes cannot be obtained synchronously by the controller, but instead there is a detector that provides estimated values of the system modes. This asynchronous phenomenon between the system modes and controller modes will be described in this work via a hidden Markov model with partly accessible mode detection probabilities. Based on a common sliding surface, an asynchronous SMC law depending on the detector mode is synthesized to ensure the mean square stability of the sliding mode dynamics and the teachability of the specified sliding surface simultaneously. Moreover, a design algorithm for obtaining the asynchronous SMC law is established. Finally, an application of the automotive electronic throttle system is provided to illustrate the effectiveness and advantages of the proposed asynchronous sliding mode control approach. (C) 2018 Elsevier Ltd. All rights reserved.