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Fuzzy Filter for Nonlinear Sampled-data Systems: Intelligent Digital Redesign Approach

Ho Jun Kim, Jin Bae Park*, and Young Hoon Joo
International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp.603-610, 2017

Abstract : "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."

Keyword : Fuzzy filter, intelligent digital redesign (IDR), linear matrix inequality (LMI), sampled-data systems,Takagi-Sugeno (T-S) fuzzy model.

 
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