首页|Anti-asynchrony output regulation for switched systems under switching-Q-learning event-triggering against DoS attacks
Anti-asynchrony output regulation for switched systems under switching-Q-learning event-triggering against DoS attacks
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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 con-secutive 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 infor-mation 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-learning algorithm.These mechanisms reduce asynchronous durations by aligning modality matching conditions and terminating attacks using at-tack 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.
switched systemslong-duration DoS attacksconsecutive asynchronyswitching-Q-learning algorithmmulti-stage event-triggeringresilient switching rule
Lili LI、Yalin CHEN、Dan MA、Qingjun GUO
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College of Marine Electrical Engineering,Dalian Maritime University,Dalian 116026,China
State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China
College of Information Science and Engineering,Northeastern University,Shenyang 110819,China
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