文献类型：期刊文献

英文题名：Almost Sure Stability of Nonlinear Systems Under Random and Impulsive Sequential Attacks

作者：He, Wangli[1,2];Qian, Feng[1,2];Han, Qing-Long[3];Chen, Guanrong[4]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 200092, Peoples R China;[3]Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, Australia;[4]City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China

年份：2020

卷号：65

期号：9

起止页码：3879

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20203809199503);WOS:【SCI-EXPANDED(收录号:WOS:000565140400012)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2018AAA0101602, in part by the National Natural Science Foundation of China under Grant 61922030 and Grant 61773163, in part by the Natural Science Foundation of Shanghai under Grant 17ZR1444600, in part by the Shanghai Rising-Star Program under Grant 18QA1401400, in part by the Fundamental Research Funds for the Central Universities under Grant 222201917006, and in part by the 111 Project under Grant B17017.

语种：英文

外文关键词：Stability criteria; Nonlinear systems; Power system stability; Stochastic processes; Sensors; State estimation; Almost sure stability; deception attack; nonlinear system; randomly impulsive sequence

摘要：This article is concerned with the stability problem for a class of Lipschitz-type nonlinear systems in networked environments, which are suffered from random and impulsive deception attacks. The attack is modeled as a randomly destabilizing impulsive sequence, whose impulsive instants and impulsive gains are both random with only the expectations available. Almost sure stability is ensured based on Doob's Martingale Convergence Theorem. Sufficient conditions are derived for the solution of the nonlinear system to be almost surely stable. An example is given to verify the effectiveness of the theoretical results. It is shown that the random attack will be able to destroy the stability, therefore, a large feedback gain may be necessary.