NDLI: Robust reliable dissipative filtering for networked control systems with sensor failure

Content Provider	IET Digital Library
Author	Mathiyalagan, Kalidass Park, Ju H. Sakthivel, Rathinasamy
Abstract	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 (𝒬, 𝒮, 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.
Starting Page	809
Ending Page	822
Page Count	14
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 8, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0441
Journal	IET Signal Processing
Publisher Date	2014-10-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bernoulli Distributed White Sequence Distributed Parameter Control System Error System Failure Analysis Filtering Theory Linear Algebra Linear Matrix Inequalities Linear Matrix Inequality LMI Approach NCS Model Network-induced Imperfections Networked Control System Numerical Analysis Random Packet Dropouts Robust Reliable Dissipative Filtering Design Sensor Sensor Signal Signal Processing Theory Stability Stability in Control Theory Standard Numerical Packages Stochastic Stability Sufflcient Condition System Parameter Uncertainty Unknown Sensor Failure Rates
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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