Event-Triggered Control for LPV Systems Under Hybrid Cyberattacks

Resumo

Resumo

This paper presents a novel approach for resilient event-triggered control for linear parameter-varying(LPV) systems under denial-of-service (DoS) attacks and stochastic deception attacks. The proposed networked control system comprises a gain-scheduled controller and an event-triggering mechanism. Besides that, a scenario where DoS attacks restrict the data rate is investigated. This is done by considering a deterministic DoS attack model that limits the frequency and duration of the DoS attack sequence on average. On the other hand, in the absence of DoS attacks the network may be subject to the occurrence of stochastic deception attacks that follow a given Bernoulli distribution. Furthermore, a switching approach provides new co-design conditions based on linear matrix inequalities (LMIs) to guarantee the mean square exponential stability of the closed-loop system even in the presence of hybrid attacks. It is also proposed an LMI-based optimization strategy to enhance resilience against the considered class of DoS attacks while minimizing the number of transmissions. Finally, a numerical example is provided to illustrate the effectiveness of the proposed approach. This is a preview of subscription content, to check access.

palavras-chave

Palavras-chave

event-triggered controllinear parameter-varying systemsdenial-of-service attacksnetworked control systemsgain-scheduled controldata rate limitationsmean-square exponential stabilityresilient control

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