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Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks

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Abstract

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 (DoS) 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 DoS attacks can be tackled. Then, an event-triggered mechanism, which accommodates DoS 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.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Victoria, Victoria, V8W 3P6, Canada

    Qi Sun, Jicheng Chen & Yang Shi

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  1. Qi Sun
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  2. Jicheng Chen
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  3. Yang Shi
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Correspondence to Yang Shi.

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Sun, Q., Chen, J. & Shi, Y. Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks. Sci. China Inf. Sci. 65, 110202 (2022). https://doi.org/10.1007/s11432-020-3289-1

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  • DOI: https://doi.org/10.1007/s11432-020-3289-1

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