【摘 要】
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This paper proposes an event-triggered robust nonlinear model predictive control (NMPC) frame-work for cyber-physical systems (CPS) in the presence of denial-of-service (DoS) attacks and additive distur-bances.In the framework,a new robustness constraint
【机 构】
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Department of Mechanical Engineering,University of Victoria,Victoria V8W 3P6,Canada
论文部分内容阅读
This paper proposes an event-triggered robust nonlinear model predictive control (NMPC) frame-work for cyber-physical systems (CPS) in the presence of denial-of-service (DoS) attacks and additive distur-bances.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 DoS attacks can be tackled.Then,an event-triggered mechanism,which accommodates DoS attacks occur-ring 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.
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