Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (10): 2434-2439.

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Fuzzy dissipative filtering for nonlinear systems with stochastic delay

LIN Qiong-bin1, WANG Wu1, YANG Fu-wen1,2, CAI Bi-zhen1   

  1. 1. Coll. of Electrical Engineering and Automation, Fuzhou Univ., Fuzhou 350108, China;
    2. School of Information Science and Engineering, East China Univ. of Science and Technology, Shanghai 200237, China
  • Received:2008-07-07 Revised:2008-10-23 Online:2009-10-20 Published:2010-01-03

Abstract: Based on Takagi-Sugeno(T-S) fuzzy model and Bernoulli random binary distribution technique,the problem of designing a dissipative fuzzy networked filter for a class of nonlinear systems with stochastic delays is studied.A linear matrix inequality(LMI) approach is developed to obtain the parameters of a fuzzy dissipative filter,which guarantees that the filter error systems are exponentially mean-square stable and strictly dissipative.A numerical example is provided to illustrate the developed design.

CLC Number: 

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