Reliable robust minimum variance filtering with sensor failures

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

Reliable robust minimum variance filtering with sensor failures

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

Research output: Journal Publication › Conference article › peer-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 language	English
Pages (from-to)	1041-1046
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	2
Publication status	Published - 2001
Externally published	Yes
Event	2001 American Control Conference - Arlington, VA, United States Duration: 25 Jun 2001 → 27 Jun 2001

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Reliable robust minimum variance filtering with sensor failures",

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.",

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AU - Liu, J.

AU - Wang, J. L.

AU - Yang, G. H.

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AB - 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.

UR - https://www.scopus.com/pages/publications/0034854470

M3 - Conference article

AN - SCOPUS:0034854470

SN - 0743-1619

VL - 2

SP - 1041

EP - 1046

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2001 American Control Conference

Y2 - 25 June 2001 through 27 June 2001

ER -

Reliable robust minimum variance filtering with sensor failures

Abstract

ASJC Scopus subject areas

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