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• W2783221532 startingPage "827" @default.
• W2783221532 abstract "Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system." @default.
• W2783221532 created "2018-01-26" @default.
• W2783221532 creator A5031737874 @default.
• W2783221532 creator A5036448935 @default.
• W2783221532 date "2019-03-01" @default.
• W2783221532 modified "2023-10-16" @default.
• W2783221532 title "Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks" @default.
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• W2783221532 doi "https://doi.org/10.1109/tcyb.2017.2787740" @default.
• W2783221532 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29994502" @default.
• W2783221532 hasPublicationYear "2019" @default.
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