Robust filter design for linear systems with parametric uncertainties via unreliable transmission channels

Magdi S. Mahmoud*

*Corresponding author for this work

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

Abstract

A robust H filter design problem for a class of uncertain discrete-time systems with possible missing measurements due to unreliable networked transmission channels is investigated. The stochastic variable, satisfying Bernoulli random binary distribution, is introduced in this work to model the missing phenomena and the corresponding filtering error dynamics with delay is subsequently induced. A set of sufficient conditions is provided for the existence of the desired filter and a robust filter design method is developed within the linear matrix inequality (LMI) framework. A numerical example is given to illustrate the effectiveness of the developed design method.

Original languageEnglish
Title of host publicationInternational Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings
DOIs
StatePublished - 2012

Publication series

NameInternational Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings

Keywords

  • Filter design
  • Linear matrix inequality
  • Linear systems
  • Uncertainties
  • Unreliable transmission channels

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering

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