This paper proposes a secure output regulation(SOR) scheme for network switched systems(NSSs) experiencing severely unstable dynamics(SUDs). This scheme aims to address the complex consecutive asynchrony caused by lon...
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This paper proposes a secure output regulation(SOR) scheme for network switched systems(NSSs) experiencing severely unstable dynamics(SUDs). This scheme aims to address the complex consecutive asynchrony caused by long-duration denial-of-service(LDDoS) attacks. When the denial-of-service(DoS) attack lasts longer than the dwell time of each subsystem, switching to a new subsystem is necessary to manage the unstable dynamic behavior caused by SUDs. The controller cannot immediately obtain information about the new modality. However, owing to the delayed access to new modality information by the controller, consecutive asynchrony occurs. To tackle this, we propose a resilient switching rule that mitigates the impact of consecutive asynchrony by choosing the optimal subsystem once the minimum dwell time is met. Multi-stage event-triggering mechanisms(METMs) are proposed to coordinate with switching signals by incorporating modality matching conditions and a switching-q-learningalgorithm. These mechanisms reduce asynchronous durations by aligning modality matching conditions and terminating attacks using attack parameters. This control scheme for SOR of NSSs with SUDs disturbed by LDDoS attacks provides a detailed analysis of dynamic switching behavior, leveraging the resilient switching rule and METMs. Finally,the feasibility of the proposed methodology is substantiated through simulations with an F-18 aircraft model.
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