Robust estimation of interconnected systems subject to sensor nonlinearities
SUMMARYAn 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 no...
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Published in | Optimal control applications & methods Vol. 34; no. 6; pp. 656 - 669 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Blackwell Publishing Ltd
01.11.2013
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Subjects | |
Online Access | Get full text |
ISSN | 0143-2087 1099-1514 |
DOI | 10.1002/oca.2045 |
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Summary: | SUMMARYAn 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. |
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Bibliography: | ark:/67375/WNG-3FDPRNKH-C istex:0F4634DFB1EBCC81AB9028F20229CB7DB9392D2E ArticleID:OCA2045 |
ISSN: | 0143-2087 1099-1514 |
DOI: | 10.1002/oca.2045 |