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Finite-time H Filtering for Discrete-time Markovian Jump BAM Neural Networks with Time-varying Delays

  • M. Syed Ali
  • K. Meenakshi
  • Young Hoon Joo
Regular Papers Intelligent Control and Applications
  • 35 Downloads

Abstract

This paper deals with the problem of finite-time H filtering for discrete-time Markovian jump BAM neural networks with time-varying delays. To do this, firstly by choosing a suitable Lyapunov function and using Jensen inequality lemma, sufficient criteria are derived to guarantee that the resulting filtering error system is finite-time bounded. And then the gain matrices of the controller and filter are achieved by solving a feasibility problem in terms of linear matrix inequalities with a fixed parameter. Moreover, we assume that disturbances are described by the jumping parameters are generated from discrete-time homogeneous Markov process. Finally a numerical example is presented to show the effectiveness of the proposed method.

Keywords

Bidirectional associative memory discrete time delay finite-time H control linear matrix inequality 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of MathematicsThiruvalluvar UniversityVelloreIndia
  2. 2.School of IT Information and Control EngineeringKunsan National UniversityKunsanKorea

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