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• W2912093606 abstract "This article focuses on time delay switch (TDS) attacks on power networks subject to highly nonlinear and interconnection. T–S model is utilized to represent each nonlinear power subsystem in the network. In order to attenuate adverse impacts from TDS attacks, a novel control technique of estimation and compensation is proposed. Combined with the method of finite time boundedness (FTB), transient stability of power systems could be achieved. First, an augmented fuzzy observer is constructed to capacitate a synchronous estimation for system states and TDS attacks, which ensures that the estimation error is limited via the intersection operation of ellipsoids within a specified finite time interval. Then, a compensation technique is employed to attenuate the influence from TDS attacks. Finally, simulation results of a distributed power network show the efficacy of the proposed method against TDS attacks." @default.
• W2912093606 created "2019-02-21" @default.
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• W2912093606 date "2021-01-01" @default.
• W2912093606 modified "2023-10-17" @default.
• W2912093606 title "A fuzzy control framework for interconnected nonlinear power networks under TDS attack: Estimation and compensation" @default.
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• W2912093606 doi "https://doi.org/10.1016/j.jfranklin.2018.12.012" @default.
• W2912093606 hasPublicationYear "2021" @default.
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