Open AccessH ∞ filtering of networked switched systems with multiple packet dropouts via switched Lyapunov function approach
Author(s) -
Cai Fenghuang,
Huang Juan,
Wang Wu,
Huang Jie,
Lin Qiongbin,
Li Yurong
Publication year - 2020
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.2019.0591
Subject(s) - control theory (sociology) , bernoulli's principle , lyapunov function , network packet , filter (signal processing) , transmission (telecommunications) , bernoulli distribution , mathematics , binary number , function (biology) , filtering problem , signal (programming language) , computer science , filter design , random variable , telecommunications , statistics , artificial intelligence , engineering , computer network , biology , control (management) , quantum mechanics , evolutionary biology , physics , nonlinear system , aerospace engineering , arithmetic , computer vision , programming language
This study considers aH ∞filtering problem for discrete‐time switched systems with multiple packet dropouts. The switching signal may be lost that is similar to the measurement signal during transmission. Also, the multiple packet‐dropouts phenomenon is described by Bernoulli binary sequences. With the aid of a novel switched Lyapunov function containing a random change of switching rate, sufficient conditions in the form of linear matrix inequalities for the desired filter are derived, which ensure the filtering error system is exponentially stable in the sense of mean square with prescribedH ∞performance. Finally, a practical example is given to verify the effectiveness of the proposed approaches.