Observers and initial state recovering for a wave equation: An LMI approach

Emilia Fridman*

*Corresponding author for this work

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

2 Scopus citations

Abstract

Recently the problem of estimating the initial state of some linear infinite-dimensional systems from measurements on a finite interval was solved by using the sequence of forward and backward observers [14]. In the present paper, we introduce a direct Lyapunov approach to the problem and extend the results to the class of semilinear systems governed by 1-d wave equations with boundary measurements from a finite interval. We first design forward observers and derive Linear Matrix Inequalities (LMIs) for the exponential stability of the estimation errors. Further we find LMIs for an upper bound T * on the minimal time, that guarantees the convergence of the sequence of forward and backward observers on [0, T*] for the initial state recovering. For observation times bigger than T*, these LMIs give upper bounds on the convergence rate of the iterative algorithm in the norm defined by the Lyapunov functions. The efficiency of the results are illustrated by a numerical example.

Original languageEnglish
Title of host publicationIFAC Joint Conference SSSC, FDA, TDS - 11th Workshop on Time-Delay Systems, TDS 2013 - Proceedings
PublisherIFAC Secretariat
Pages337-342
Number of pages6
Edition3
ISBN (Print)9783902823267
DOIs
StatePublished - 2013
Event11th Workshop on Time-Delay Systems, TDS 2013 - Grenoble, France
Duration: 4 Feb 20136 Feb 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number3
Volume46
ISSN (Print)1474-6670

Conference

Conference11th Workshop on Time-Delay Systems, TDS 2013
Country/TerritoryFrance
CityGrenoble
Period4/02/136/02/13

Funding

FundersFunder number
Kamea Fund of Israel
Israel Science Foundation754/10

    Keywords

    • Distributed parameter systems
    • LMIs
    • Lyapunov method
    • Observability
    • Observers

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