Robust estimation of interconnected systems subject to sensornonlinearities

SUMMARY An efficient robust LMI-based scheme is developed for decentralized state-estimation of linear interconnected systems with static nonlinear interconnections and subjected to sensor nonlinearities. The interconnections satisfy quadratic constraints with manipulated parameters and the sensor n...

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Bibliographic Details
Published inOptimal control applications & methods Vol. 34; no. 6; pp. 656 - 669
Main Authors Mahmoud, Magdi S, AL-Sunni, Fouad M
Format Journal Article
LanguageEnglish
Published Glasgow Wiley Subscription Services, Inc 01.11.2013
Subjects
Blocking
Design engineering
Estimators
Interconnections
Mathematical models
Nonlinearity
Robustness
Sensors
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ISSN0143-2087
1099-1514
DOI10.1002/oca.2045

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Summary:SUMMARY An efficient robust LMI-based scheme is developed for decentralized state-estimation of linear interconnected systems with static nonlinear interconnections and subjected to sensor nonlinearities. The interconnections satisfy quadratic constraints with manipulated parameters and the sensor nonlinearities are modeled as sector nonlinearities. The design procedure utilizes a general linear estimator structure and consists of two steps: the first giving a block-diagonal Lyapunov matrix together with the robustness degree and the second determining the filter parameters. A numerical example is provided to illustrate the applicability of the method. Copyright © 2012 John Wiley & Sons, Ltd. [PUBLICATION ABSTRACT]
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ISSN:0143-2087
1099-1514
DOI:10.1002/oca.2045