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Asynchronous H ∞ filtering for time delayed APF with MDADT based on T‐S fuzzy model
Author(s) -
Zhang Liangliang,
Zhang Hongbin,
Li Yang
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2108
Subject(s) - asynchronous communication , control theory (sociology) , filter (signal processing) , filtering problem , fuzzy logic , stability (learning theory) , mathematics , computer science , function (biology) , filter design , artificial intelligence , control (management) , telecommunications , machine learning , computer vision , evolutionary biology , biology
This paper investigates the H ∞ asynchronous filtering problem for active power filter (APF) systems with time delayed to monitor the states of these systems. APF system is represented by T‐S fuzzy model. The phenomenon of asynchronous often appears in the practical system. And in this paper, asynchronous means that the switching of the filters we designed has a lag to the switching of the system models. By using the MDADT and the Lyapunov‐Krasovskii function methods, the switching filtering error system is delay‐dependent stability and has the H ∞ performance. The filter parameter is solved by linear matrix inequalities (LMIs). A simulation example is given to show the efficiency of the proposed methods.