文献类型：期刊文献

英文题名：ADP-Based Security Decentralized Sliding Mode Control for Partially Unknown Large-Scale Systems Under Injection Attacks

作者：Song, Jun[1];Huang, Long-Yang[1,2];Karimi, Hamid Reza[3];Niu, Yugang[1];Zhou, Jiale[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]China Univ Min & Technol, Sch Informat & Control Engn, Xuzhou 221116, Jiangsu, Peoples R China;[3]Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy

年份：2020

卷号：67

期号：12

起止页码：5290

外文期刊名：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

收录：;EI(收录号：20205009610111);WOS:【SCI-EXPANDED(收录号:WOS:000596021000094)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61903143, Grant 61673174, and Grant 61906068; in part by the Shanghai Chenguang Project under Grant 19CG33; in part by the Shanghai Sailing Program under Grant 19YF1412100; and in part by the 111 Project from China under Grant B17017. This article was recommended by Associate Editor P. Shi.

语种：英文

外文关键词：Large-scale systems; Security; Optimal control; System dynamics; Decentralized control; Actuators; Sliding mode control; Large-scale systems; adaptive dynamic programming; sliding mode control; cyber-attacks; power systems

摘要：In this paper, the decentralized optimal control problem is addressed for a class of large-scale systems subject to injection attacks. All subsystem matrices are considered to be unavailable to the designer. A model-free decentralized sliding mode control (SMC) scheme for each subsystem is designed via just utilizing its own state information and the known bounds of the interconnections and the injection attacks. Moreover, the adaptive dynamic programming (ADP) approach is incorporated to deal with the infinite horizon optimal control problem for the sliding mode dynamics, which is equivalent to the solution of a set of parallel algebraic Riccati equations. Furthermore, a novel parallel policy iteration algorithm is developed to implement the proposed decentralized SMC scheme without using all subsystems dynamics matrices. Specifically, it is shown that during the whole policy iteration steps, the reachability of each sliding variable and the stability of each sliding mode dynamics are guaranteed simultaneously by the online updating decentralized SMC scheme. Finally, the applicability of the proposed novel ADP-based decentralized SMC strategy is illustrated by a two-machine power system subject to three different injection attacks.