Open AccessRobust reliable dissipative filtering for networked control systems with sensor failure
Author(s) -
Mathiyalagan Kalidass,
Park Ju H.,
Sakthivel Rathinasamy
Publication year - 2014
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2013.0441
Subject(s) - dissipative system , computer science , control system , control (management) , robust control , robustness (evolution) , control theory (sociology) , artificial intelligence , engineering , physics , quantum mechanics , biochemistry , chemistry , electrical engineering , gene
This study is concerned with the problem of robust reliable dissipative filter design for networked control systems (NCSs) with sensor failures and random packet dropouts. The considered NCS model is subject to the sources of uncertainty in the system parameters. The sensor signals are modelled by sequences of a Bernoulli distributed white sequence and the packet dropouts may occur randomly during transmission. The main objective is to design a suitable reliable dissipative filter such that, for all network‐induced imperfections, a resulting error system is robustly stochastically stable and strictly (, , ℛ) dissipative. The results are obtained for known as well as unknown sensor failure rates, so the results are more general one because it can guarantee the dissipativity of system whether or not the sensor encounter failures. The sufficient conditions for existence of filters are derived in terms of linear matrix inequality (LMI) approach and the corresponding filter parameters can be obtained by solution to a set of LMIs, which can be easily solved by using some standard numerical packages. Finally, two numerical examples are given to illustrate the applicability and effectiveness of the proposed filter design.