State Estimation of Markovian Jump Neural Networks with Mixed Time Delays

  • He Huang
  • Xiaoping Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7367)

Abstract

This paper is concerned with the state estimation problem of Markovian jump neural networks with discrete and distributed delays. A stochastic Lyapunov functional with a triple-integral term is constructed to handle it. A delay-dependent design criterion is derived such that the resulting error system is mean square exponentially stable with a prescribed decay rate. The gain matrices of the state estimator and the decay rate can be obtained by solving some coupled linear matrix inequalities.

Keywords

Markovian jump neural networks state estimation mixed delays decay rate 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • He Huang
    • 1
  • Xiaoping Chen
    • 1
  1. 1.School of Electronics and Information EngineeringSoochow UniversitySuzhouP.R. China

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