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2017 | OriginalPaper | Chapter

H ∞ Filtering Design for a Class of Distributed Parameter Systems with Randomly Occurring Sensor Faults and Markovian Channel Switching

Authors : Huihui Ji, Baotong Cui

Published in: Parallel Architecture, Algorithm and Programming

Publisher: Springer Singapore

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Abstract

The paper is concerned with H ∞ filtering design for a class of stochastic distributed parameter systems with randomly occurring sensor faults over sensor networks with multiple communications. The channel switching is governed by a continuous-time Markovian process and the case of measurement failures is described by a stochastic variable which is satisfying the Bernoulli random distribution. Based on a Markovian switched Lyapunov-Krasovskii functional, delay-dependent conditions are achieved to guarantee the prescribed H ∞ performance. Finally, a practical simulation example is given to illustrate the validity of our results.

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Metadata
Title
H ∞ Filtering Design for a Class of Distributed Parameter Systems with Randomly Occurring Sensor Faults and Markovian Channel Switching
Authors
Huihui Ji
Baotong Cui
Copyright Year
2017
Publisher
Springer Singapore
Book
Parallel Architecture, Algorithm and Programming

Print ISBN: 978-981-10-6441-8

Electronic ISBN: 978-981-10-6442-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6442-5_11