H∞ filtering for networked systems with multiple time-varying transmissions and random packet dropouts

Dan Zhang, Qing Guo Wang, Li Yu, Qi Ke Shao

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)

Abstract

This paper is concerned with the H∞ filtering for networked systems with multiple time-varying transmissions and random packet dropouts. We design a remote H∞ filter for these two networked issues such that the filtering error system is exponentially stable and achieves a prescribed H∞ performance level. A switched system approach is used to model the multiple time-varying transmission process, and a set of stochastic variables are employed to describe the random packet dropout phenomenon. By the switched system theory and some stochastic analysis methods, a sufficient condition for the existence of the H∞ filter is derived in terms of linear matrix inequalities (LMIs). Moreover, the filter gains are determined by solving an optimization problem. Two numerical examples are given to illustrate the effectiveness of the proposed design method.

Original languageEnglish
Article number6376182
Pages (from-to)1705-1716
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume9
Issue number3
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Event-driven transmission
  • H∞ filtering
  • networked systems
  • random packet dropouts
  • switched system
  • time-varying transmission

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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