Robust vertex-dependant H filtering of stochastic discrete-time systems with delay

Eli Gershon, Uri Shaked

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Linear, state delayed, discrete-time systems with stochastic uncertainties in their state-space model are considered. The problems of robust vertex-dependant polytopic H filtering is solved, for the stationary case, via an input-output approach by which the system is replaced by a nonretarded system with deterministic norm-bounded uncertainties. A vertex-dependent solution is obtained by applying a modified version of the Finsler lemma. In this problem, a cost function is defined which is the expected value of the standard H performance index with respect to the uncertain parameters.

Original languageEnglish
Title of host publicationICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
EditorsOleg Gusikhin, Kurosh Madani
PublisherSciTePress
Pages621-628
Number of pages8
ISBN (Electronic)9789897582639
DOIs
StatePublished - 2017
Event14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017 - Madrid, Spain
Duration: 26 Jul 201728 Jul 2017

Publication series

NameICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
Volume1

Conference

Conference14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017
Country/TerritorySpain
CityMadrid
Period26/07/1728/07/17

Keywords

  • Discrete stochastic systems
  • Polytopic uncertainties
  • Robust filtering

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