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

  • Huihui Ji
  • Baotong Cui
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 729)

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.

Keywords

H filtering Distributed parameter systems Randomly occurring failures Markovian jump parameter Time-delays 

Notes

Acknowledgments

This work was supported in part supported by Research and Innovation Program of Academic Degree Postgraduate of Ordinary University in Jiangsu province in 2017 KYCX17_1455.

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Copyright information

© Springer Nature Singapore Pte Ltd 2017

Authors and Affiliations

  1. 1.School of Internet of Things EngineeringJiangnan UniversityWuxiPeople’s Republic of China

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