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Fuzzy H∞ FIR Filtering for T–S Fuzzy Systems with Quantization and Packet Dropout

Chang Joo Lee and Myo Taeg Lim*
International Journal of Control, Automation, and Systems, vol. 16, no. 3, pp.961-971, 2018

Abstract : "First, sThis paper proposes a new fuzzy H∞ finite impulse response (FIR) filter with quantization and packet dropout for Takagi–Sugeno (T–S) fuzzy systems with external disturbance. The measurements are quantized by a logarithmic quantizer and then transmitted from the plant to the filter imperfectly due to random packet loss described by the Bernoulli random process. The proposed fuzzy H∞ FIR filter is in the form of fuzzy-basis-independent linear matrix inequalities (LMIs) that guarantee H∞ performance. Two simulation examples are given to illustrate the effectiveness and robustness of the proposed fuzzy H∞ FIR filter.ufficient conditions on characterizing the nonlinear functions of the considered systems are derived. Then,"

Keyword : Bernoulli random process, finite impulse response (FIR) structure, H∞ filtering, logarithmic quantizer,

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