Finite Time Passive Reliable Filtering for Fuzzy Systems with Missing Measurements

S. Vimal Kumar, R. Sakthivel, M. Sathishkumar, S. Marshal Anthoni

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)


This paper investigates the problem of robust finite time extended passive reliable filtering for Takagi-Sugeno (T-S) fuzzy systems with randomly occurring uncertainties, missing measurements, and time-varying delays. Moreover, two stochastic variables satisfying the Bernoulli random distribution are introduced to characterize the phenomenon of the randomly occurring uncertainties and missing measurements. By skillfully choosing a proper Lyapunov-Krasovskii functional (LKF), a new set of sufficient conditions in terms of linear matrix inequalities (LMI) is derived to ensure that the filtering error system is robustly stochastically finite time bounded (SFTB) with a desired extended passive performance index. Based on the obtained sufficient conditions, an explicit expression for the desired filter can be computed. Finally, two numerical examples are provided to show the effectiveness of the proposed filter design technique.

期刊Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
出版狀態Published - 2018 八月 1

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 資訊系統
  • 儀器
  • 機械工業
  • 電腦科學應用


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