T-S FUZZY MODEL-BASED MEMORY CONTROL FOR DISCRETE-TIME SYSTEM WITH RANDOM INPUT DELAY

Authors

  • Hua Han College of Information Science and Technology, Donghua University, Shanghai, 201620, P. R.China
  • Jinliang Liu Department of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, 210046, P. R. China and the College of Information Sciences, Donghua University, Shanghai, 201620, P. R. China
  • Songlin Hu Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
  • Zhou Gu Power Engineering, Nanjing Normal University, Nanjing, Jiangsu, 210042, P. R. China
Abstract:

A memory control for T-S fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. Dierent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. A new state space model of the discrete-time T-S fuzzy system is derived by introducing some stochastic variables satisfying Bernoulli random binary distribution and using state augmentation method, some criterion for the stochastic stability analysis and stabilization controller design are derived for T-S fuzzy systems with stochastic time-varying input delay. Finally, a nu- merical example is given to demonstrate the eectiveness and the merit of the proposed method.

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Journal title

volume 8  issue 3

pages  67- 79

publication date 2011-10-18

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