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Dissipative filter design for discrete‐time interval type‐2 fuzzy singular systems with mixed delays
Author(s) -
Li Jiangrong,
Zhang Huayang,
Feng Zhiguang,
Zhao Yuxin,
Shi Juan
Publication year - 2020
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2583
Subject(s) - dissipative system , control theory (sociology) , filter (signal processing) , mathematics , interval (graph theory) , fuzzy logic , discrete time and continuous time , nonlinear system , fuzzy control system , matrix (chemical analysis) , type (biology) , filter design , linear matrix inequality , computer science , mathematical optimization , control (management) , physics , ecology , statistics , materials science , quantum mechanics , combinatorics , artificial intelligence , composite material , computer vision , biology
Summary In this article, the problem of delay‐dependent dissipative filter design is studied for discrete‐time interval type‐2 (IT‐2) fuzzy singular systems with both external disturbance and mixed delays. Two kinds of delays are considered, namely time‐varying discrete delays and infinite distributed delays. First, considering the uncertainties in the membership functions, the nonlinear singular system and the filter are modeled by the IT‐2 fuzzy systems. Then, based on new matrix inequalities dealing with the mixed delays, a new delay‐dependent criterion is proposed to ensure the IT‐2 fuzzy filtering error system is to be admissible with strictly dissipative performance. The filter parameters are characterised by the solution of linear matrix inequalities (LMIs). The feasibility of these results are verified by a numerical example.