H∞ Filtering Design for a Class of Distributed Parameter Systems with Randomly Occurring Sensor Faults and Markovian Channel Switching
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.
KeywordsH∞ filtering Distributed parameter systems Randomly occurring failures Markovian jump parameter Time-delays
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.
- 11.Demetriou, M.A.: Design of consensus and adaptive consensus filters for distributed parameter systems. Pergamon Press, Inc. (2010)Google Scholar
- 12.Park, P.G., Ko, J.W., Jeong, C.: Reciprocally convex approach to stability of systems with time-varying delays. Pergamon Press, Inc. (2011)Google Scholar