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2017 | OriginalPaper | Buchkapitel

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

verfasst von : Huihui Ji, Baotong Cui

Erschienen in: Parallel Architecture, Algorithm and Programming

Verlag: 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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Metadaten
Titel
H ∞ Filtering Design for a Class of Distributed Parameter Systems with Randomly Occurring Sensor Faults and Markovian Channel Switching
verfasst von
Huihui Ji
Baotong Cui
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6442-5_11

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