Open AccessEvent‐triggered non‐fragile H ∞ filtering of linear systems with a structure separated approach
Author(s) -
Yan Shen,
Shen Mouquan,
Che WeiWei,
Zhang Guangming
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0421
Subject(s) - control theory (sociology) , computation , bounded function , filter (signal processing) , computer science , linear system , linear matrix inequality , mathematics , norm (philosophy) , algorithm , mathematical optimization , artificial intelligence , mathematical analysis , control (management) , political science , law , computer vision
Considering filter gains with additive interval variations, this study is devoted to the non‐fragile H ∞ filtering of linear systems with an event‐triggered transmission. To take into account the influence of these variations thoroughly, a structured vertex separator is adopted to alleviate the computation burden. Combining the Finsler lemma, conditions of designing the non‐fragile filter to ensure the required H ∞ performance are formed by linear matrix inequalities. Compared to the norm‐bounded method to handle the variations, the proposed method could provide less conservative results. Simulations are executed to show the validity of the proposed method.