文献类型：期刊文献

英文题名：Finite-Time Sliding-Mode Control of Markovian Jump Cyber-Physical Systems Against Randomly Occurring Injection Attacks

作者：Cao, Zhiru[1];Niu, Yugang[1];Song, Jun[1]

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

年份：2020

卷号：65

期号：3

起止页码：1264

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20201208311008);WOS:【SCI-EXPANDED(收录号:WOS:000538147600030)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673174 and Grant 61803255, and in part by the 111 Project under Grant B17017 from China. Recommended by Associate Editor C. Edwards.

语种：英文

外文关键词：Markovian jump cyber-physical systems (MJCPSs); randomly occurring injection attacks; randomly occurring uncertainties; sliding-mode control (SMC); stochastic finite-time boundedness

摘要：This paper addresses a finite-time sliding-mode control problem for a class of Markovian jump cyber-physical systems. It is assumed that the control input signals transmitted via a communication network are vulnerable to cyber-attacks, in which the adversaries may inject false data in a probabilistic way into the control signals. Meanwhile, there may exist randomly occurring uncertainties and peak-bounded external disturbances. A suitable sliding mode controller is designed such that state trajectories are driven onto the specified sliding surface during a given finite-time (possibly short) interval. By introducing a partitioning strategy, the stochastic finite-time boundedness over the reaching phase and the sliding motion phase is analyzed, respectively. A key feature is that a set of mode-dependent sufficiently small scalars are introduced into some coupled Lyapunov inequalities such that the feasible solutions are easily obtained for the stochastic finite-time boundedness of the closed-loop systems. Finally, the practical system about a single-link robot-arm model is given to illustrate the present method.