H∞ filtering for switched systems subject to stochastic cyber attacks: A double adaptive storage event-triggering communication

Yiwen Qi, Xiujuan Zhao and Jie Huang

Applied Mathematics and Computation, 2021, vol. 394, issue C

Abstract: This paper concentrates on event-triggered filtering for networked switched linear systems subject to stochastic cyber attacks.A double adaptive storage event-triggering strategy (DAS-ETS) is developed. On the one hand, it can automatically adjust the amount of stored data to obtain a weighting error that more dependents on performance changes. On the other hand, its threshold is also adaptively changeable depending on system performance. Both make the strategy more accurately reflect changes in system performance requirements to trigger ‘more necessary’ events. Moreover, actual factors that stochastic cyber attacks and transmission delays are taken into account in the modeling of time-delay filtering error system. Based on Lyapunov functions and average dwell time approach, a set of criteria is provided to guarantee the realization of H∞ performance of filtering error system. Furthermore, the sub-filter gains and DAS-ETS parameters can be calculated by solving a set of linear matrix inequalities (LMIs). At last, a numerical simulation is given to confirm the advantages of the proposed solution.

Keywords: Switched systems; Double adaptive storage event-triggering strategy; H∞ filtering; Stochastic cyber attacks (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:394:y:2021:i:c:s0096300320307426

DOI: 10.1016/j.amc.2020.125789

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