Fuzzy H α FIR Filtering for T-S Fuzzy Systems with Quantization and Packet Dropout

被引：7

作者：

Lee, Chang Joo ^{[1
]}

Lim, Myo Taeg ^{[1
]}

机构：

[1] Korea Univ, Sch Elect Engn, 145 Anam Ro, Seoul 02841, South Korea

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2018年 / 16卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

Bernoulli random process; finite impulse response (FIR) structure; H-infinity filtering; logarithmic quantizer; packet dropout; quantization; Takagi-Sugeno (T-S) fuzzy systems; NETWORKED CONTROL-SYSTEMS; KALMAN FILTER; INITIAL CONDITIONS; IGNORING NOISE; TIME; STABILITY; DELAY; DIVERGENCE; DESIGN; MODELS;

D O I：

10.1007/s12555-017-0465-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a new fuzzy H (a) 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 (a) FIR filter is in the form of fuzzy-basis-independent linear matrix inequalities (LMIs) that guarantee H (a) performance. Two simulation examples are given to illustrate the effectiveness and robustness of the proposed fuzzy H (a) FIR filter.

引用

页码：961 / 971

页数：11

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