4.6 Article

MAS-Based Distributed Resilient Control for a Class of Cyber-Physical Systems With Communication Delays Under DoS Attacks

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 51, Issue 5, Pages 2347-2358

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.2972686

Keywords

Observers; Delays; Denial-of-service attack; Time-varying systems; Resists; Communication networks; Cyber-physical systems; Adaptive distributed resilient observers; communication delays; cyber-physical systems (CPSs); denial-of-service (DoS) attacks; time-varying sampling period

Funding

  1. Ministry of Education (MOE), Singapore [MOE2017-T2-1-050]

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This article proposes a new distributed resilient control approach for cyber-physical systems with communication delays and DoS attacks. Adaptive distributed observers and adaptive distributed resilient observers are designed by introducing buffer and resilient mechanisms to eliminate heterogeneous behavior caused by communication delays and resist DoS attacks.
In this article, we investigate the distributed resilient control problem for a class of cyber-physical systems with communication delays under denial-of-service (DoS) attacks. In contrast to the previous DoS attacks results based on multiagent systems (MASs), a new distributed resilient control approach is proposed for more general heterogeneous linear MASs with nonuniform communication delays. Two types of sampled-based observers are, respectively, proposed. Namely, adaptive distributed observers are designed by introducing a buffer mechanism to eliminate the heterogeneous behavior caused by communication delays while adaptive distributed resilient observers are designed by introducing resilient mechanisms to resist the DoS attacks. Furthermore, a time-varying sampling period sequence is provided to prevent the attacker from identifying the sampling period of the system. Based on the developed resilient observers, a controller is developed. It is proved that the considered problem can be solved by the developed method. Finally, a numerical example is given to illustrate the effectiveness of the obtained result.

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