文献类型：期刊文献

英文题名：Parameter-dependent sliding mode control for Markovian jump systems within finite-time interval: handling randomly occurring actuator faults

作者：Zhao, Meng[1];Niu, Yugang[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China

年份：2021

卷号：52

期号：14

起止页码：2988

外文期刊名：INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

收录：;EI(收录号：20211710268430);WOS:【SCI-EXPANDED(收录号:WOS:000642568000001)】；

基金：This work was supported in part by the National Natural Science Foundation of China (NNSF) [grant number 62073139].

语种：英文

外文关键词：Markovian jump systems; stochastic finite-time boundedness; sliding mode control; random uncertainties; actuator faults

摘要：In this article, the finite-time sliding mode control problem is studied for the Markovian jump systems. The uncertainties and actuator faults are randomly occurring and varying, which are simultaneously considered in the controlled systems. In order to characterise the stochastic phenomenon, two independent exponentials distributed random variables are introduced. To implement finite-time control performance, a suitable sliding mode controller is developed, which forces the trajectories of the system onto the specified sliding surface in a given finite-time (possibly short) interval. Besides, sufficient conditions are obtained to guarantee the stochastic finite-time boundedness within the entire finite-time interval, including the reaching and the sliding motion phases. Finally, simulation results demonstrate the feasibility of the proposed control strategy.