Robust H∞ Filtering and Deconvolution for Continuous Time Delay Systems Based on Game-Theoretic Approach
Many dynamical systems involve not only process and measurement noise signals but also parameter uncertainty and unknown input signals. This paper aims to estimate the state and unknown input for linear continuous time‐varying systems subject to time delay in state, norm‐bounded parameter uncertaint...
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Published in | Asian journal of control Vol. 18; no. 6; pp. 2180 - 2192 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Blackwell Publishing Ltd
01.11.2016
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Many dynamical systems involve not only process and measurement noise signals but also parameter uncertainty and unknown input signals. This paper aims to estimate the state and unknown input for linear continuous time‐varying systems subject to time delay in state, norm‐bounded parameter uncertainty, and a known input. Such a problem is reformulated into a two‐player differential game whose saddle point solution gives rise to one sufficient solvable condition for the estimation problem. The possible optimal estimators are obtained by solving the two coupled Riccati differential equations. We demonstrate, through two examples, how the proposed estimator is valid for estimating state and unknown input. |
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Bibliography: | National Nature Science Foundation of China - No. 61304219 istex:514BE1F2B3009BB1AD4BC49759DE32189E55DEB7 ArticleID:ASJC1313 ark:/67375/WNG-FSHGQ6Z1-W ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1561-8625 1934-6093 |
DOI: | 10.1002/asjc.1313 |