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