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Passive filtering for delayed neutral-type semi-Markovian jump systems

  • Fanbiao Li
  • , Peng Shi*
  • , Ligang Wu
  • *Corresponding author for this work
  • Central South University
  • Victoria University
  • University of Adelaide

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter is concerned with the problem of exponential passive filtering for a class of stochastic neutral-type neural networks with both semi-Markovian jump parameters and mixed time delays. Our aim is to estimate the state by a Luenberger-type observer such that the filter error dynamics are exponentially mean-square stable with an expected decay rate and an attenuation level. Sufficient conditions for existence of passive filters are obtained and a cone complementarity linearization procedure is employed to transform a nonconvex feasibility problem into a sequential minimization problem, which can be readily solved by existing optimization techniques.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages103-131
Number of pages29
DOIs
StatePublished - 2017

Publication series

NameStudies in Systems, Decision and Control
Volume81
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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