2019
DOI: 10.1002/rnc.4815
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Security distributed state estimation for nonlinear networked systems against DoS attacks

Abstract: SummaryThis paper is concerned with security distributed state estimation for nonlinear networked systems against denial‐of‐service attacks. By taking the effects of resource constraints into consideration, an event‐triggered scheme and a quantization mechanism are employed to alleviate the burden of network. A mathematical model of distributed state estimation is constructed for nonlinear networked systems against denial‐of‐service attacks. Sufficient conditions ensuring the exponential stability of the estim… Show more

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Cited by 71 publications
(40 citation statements)
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“…In fact, the inequality (30) can be ensured by the inequality (17). Then, the system (15) with f (t) = 0 is MSAS.…”
Section: Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…In fact, the inequality (30) can be ensured by the inequality (17). Then, the system (15) with f (t) = 0 is MSAS.…”
Section: Controller Designmentioning
confidence: 99%
“…and η i (i = 1, 2, 3, 4) are given by (19). Then, by Schur complements, if matrix inequalities (17) and 18hold, we have…”
Section: Controller Designmentioning
confidence: 99%
“…The authors in [29] investigated the event-triggered consensus problem of nonlinear MANs under denial-of-service (DoS) attacks, but assume the information of DoS attacks can be detected. In [30], an event-triggered strategy was adopted for distributed state estimation of nonlinear systems against DoS attacks. Besides, an event-based secure control for leader-following consensus was reported in [31], considering MANs with replay attacks and DoS attacks.…”
Section: Introductionmentioning
confidence: 99%
“…As is well known, in 2010, the advanced worm ‘Stuxnet’ severely infected a large number of industrial control systems in some countries and it led to tremendous economic losses. To deal with different attack methods with high efficiency, various ways have been continuously proposed, and enormous remarkable results have been addressed gradually [37–54]. For example, in [37], hybrid stochastic games have been used to study the security control of cyber‐physical systems.…”
Section: Introductionmentioning
confidence: 99%