Reliable robust minimum variance filtering with sensor failures

J. Liu, J. L. Wang, G. H. Yang

Research output: Journal PublicationConference articlepeer-review

23 Citations (Scopus)

Abstract

This paper presents a solution to a reliable filtering problem with error variance specifications. A given higher bound of the filtering error variance in the sensor failure cases is guaranteed and the performance in the nominal case is optimized. A new formulation in terms of LMI is adopted without introducing additional conservativeness. An iterative algorithm is given to obtain the solution, which is illustrated by a numerical example.

Original languageEnglish
Pages (from-to)1041-1046
Number of pages6
JournalProceedings of the American Control Conference
Volume2
Publication statusPublished - 2001
Externally publishedYes
Event2001 American Control Conference - Arlington, VA, United States
Duration: 25 Jun 200127 Jun 2001

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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