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

This 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.