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H state estimation for stochastic Markovian jumping neural network with time-varying delay and leakage delay

  • Ya-Jun LiEmail author
  • Zhao-Wen Huang
  • Jing-Zhao Li
Research Article

Abstract

The H state estimation problem for a class of stochastic neural networks with Markovian jumping parameters and leakage delay is investigated in this paper. By employing a suitable Lyapunov functional and inequality technic, the sufficient conditions for exponential stability as well as prescribed H norm level of the state estimation error system are proposed and verified, and all obtained results are expressed in terms of strict linear matrix inequalities (LMIs). Examples and simulations are presented to show the effectiveness of the proposed methods, at the same time, the effect of leakage delay on stability of neural networks system and on the attenuation level of state estimator are discussed.

Keywords

H filtering state estimation Markovian jump exponential stability linear matrix inequality (LMI) neural networks time-varying delay leakage delay 

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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.College of Electronics and Information EngineeringShunde polytechnicFoshanChina

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