Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks
Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks作者机构:Department of Mechanical Engineering University of Victoria
出 版 物:《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期:2022年第65卷第1期
页 面:22-38页
核心收录:
学科分类:0711[理学-系统科学] 0301[法学-法学] 08[工学] 0839[工学-网络空间安全] 0802[工学-机械工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化]
主 题:cyber-physical systems nonlinear model predictive control event-triggered mechanism robust control denial-of-service attacks
摘 要:This paper proposes an event-triggered robust nonlinear model predictive control(NMPC) framework for cyber-physical systems(CPS) in the presence of denial-of-service(Do S) attacks and additive disturbances. In the framework, a new robustness constraint is introduced to the NMPC optimization problem in order to deal with additive disturbances, and a packet transmission strategy is designed for NMPC such that Do S attacks can be tackled. Then, an event-triggered mechanism, which accommodates Do S attacks occurring in the communication network, is proposed to reduce the communication cost for resource-constrained CPSs. Besides, we prove that the NMPC algorithm is recursively feasible and the closed-loop system is input-to-state practical stable under some sufficient conditions. Simulation examples and comparisons are conducted to show the effectiveness of the proposed NMPC algorithm.