文献类型：期刊文献

英文题名：Adaptive Sliding Mode Quantized Control under Hybrid Cyber-Attacks

作者：Mao, Dancheng[1]; Niu, Yugang[1]; Li, Jiarui[2]; Xu, Kun[1]

机构：[1] East China University of Science and Technology, The Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, Shanghai, 200237, China; [2] Logistics Engineering College, Shanghai Maritime University, Department of Electrical Automation, Shanghai, 201306, China

年份：2024

起止页码：5237

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20244117155287)

语种：英文

外文关键词：Adaptive control systems - Closed loop control systems - Computer viruses - Control theory - Networked control systems - Quantization (signal)

摘要：This work investigates the sliding mode quantized control problem for networked control system (NCS) under Markov-conforming hybrid cyber-attacks. The system state is first quantized via a dynamic uniform quantizer, whose parameter is adaptively updated via a state-dependent adjusting strategy. A one-to-one mapping technique is used to cope with the hybrid attacks obeying Markov chains in sensor-controller (S-C) and controller-actuator (C-A) channel. And then, a sliding mode control (SMC) scheme is designed by means of the available quantized state signals via a compensation method. Furthermore, sufficient conditions are derived to attain the stability of the closed-loop system and the reachability of the specified sliding surface simultaneously. Finally, the practical simulation results are provided to illustrate the proposed security control strategy. ? 2024 Technical Committee on Control Theory, Chinese Association of Automation.