Open AccessEvent‐triggered H ∞ filtering for networked Takagi–Sugeno fuzzy systems with asynchronous constraints
Author(s) -
Zhang Jin,
Peng Chen
Publication year - 2015
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2014.0319
Subject(s) - asynchronous communication , computer science , transmission (telecommunications) , fuzzy logic , scheme (mathematics) , event (particle physics) , premise , fuzzy control system , filter (signal processing) , filtering problem , variation (astronomy) , control theory (sociology) , mathematics , artificial intelligence , filter design , telecommunications , control (management) , physics , quantum mechanics , mathematical analysis , linguistics , philosophy , astrophysics , computer vision
This paper addresses event‐triggered H ∞ filtering for networked Takagi–Sugeno fuzzy systems with the asynchronous constraints of the membership functions. First, an event‐triggered communication (ETC) scheme is proposed to trigger the transmission only when the variation of the sampled vector exceeds a prescribed threshold condition. Second, a model of fuzzy filtering error system is built under consideration of the ETC scheme, asynchronous premise and communication delay in a unified framework. Then, less conservative criteria on H ∞ filtering analysis and design are derived by making use of the re‐constructed asynchronous premises. Finally, two examples are used to show the effectiveness of the proposed method.