文章基本信息

标题：Finite-time reliable filtering for T-S fuzzy stochastic jumping neural networks under unreliable communication links
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作者：Huiling Duan ; Tao Peng
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2017
卷号：2017
期号：1
页码：54
DOI：10.1186/s13662-017-1108-3
语种：English
出版社：Hindawi Publishing Corporation
摘要：This study is concerned with the problem of finite-time state estimation for T-S fuzzy stochastic jumping neural networks, where the communication links between the stochastic jumping neural networks and its estimator are imperfect. By introducing the fuzzy technique, both the nonlinearities and the stochastic disturbances are represented by T-S model. Stochastic variables subject to the Bernoulli white sequences are employed to determine the nonlinearities occurring in different sector bounds. Some sufficient conditions for the existence of the state estimator are given in terms of linear matrix inequalities, whose effectiveness are illustrated with the aid of simulation results.
关键词：finite-time boundedness ; discrete-time ; T-S fuzzy model ; Lyapunov-Krasovskii functional ; stochastic jumping neural networks