Fuzzy filter for nonlinear sampled-data systems: Intelligent digital redesign approach

被引：0
|
作者：
Ho Jun Kim
Jin Bae Park
Young Hoon Joo
机构：
[1] Yonsei University,Department of Electrical and Electronic Engineering
[2] Gunsan National University,Department of Control and Robot Engineering
来源：
International Journal of Control, Automation and Systems | 2017年 / 15卷
关键词：
Fuzzy filter; intelligent digital redesign (IDR); linear matrix inequality (LMI); sampled-data systems; Takagi-Sugeno (T-S) fuzzy model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a fuzzy filter design method for nonlinear sampled-data systems using an intelligent digital redesign (IDR) technique. Based on a Takagi–Sugeno (T–S) fuzzy model, discretized closed-loop systems with pre-designed analog fuzzy and digital fuzzy filters are presented. An IDR problem is given to guarantee both state-matching condition and asymptotic stability. Sufficient conditions for solving the IDR problem are proposed and are derived in terms of linear matrix inequalities (LMIs). Finally, a simulation example is given to show the effectiveness of the proposed method.
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页码：603 / 610
页数：7
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