Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation

Peiling Cui; Quan Pan; Guizeng Wang; Jianfeng Cui

doi:10.1007/11538356_42

Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation

Peiling Cui, Quan Pan, Guizeng Wang, Jianfeng Cui

School of Automation

Research output: Contribution to journal › Conference article › peer-review

Abstract

Fusion of the states of a nonlinear dynamic multiscale system (DMS) on the basis of available noisy measurements is one of the well-known key problems in modern control theory. To the best of our knowledge, all of the previous work focused attention on linear DMS. However, nonlinear DMS has never been investigated. In this paper, modeling and fusion estimation of dynamic multiscale system subject to nonlinear measurement equation is proposed. Haar wavelet is used to link the scales. Monte Carlo simulation results demonstrate that the proposed algorithm is effective and powerful in this kind of nonlinear dynamic multiscale system estimation problem.

Original language	English
Pages (from-to)	405-413
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3645
Issue number	PART II
DOIs	https://doi.org/10.1007/11538356_42
State	Published - 2005
Event	International Conference on Intelligent Computing, ICIC 2005 - Hefei, China Duration: 23 Aug 2005 → 26 Aug 2005

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10.1007/11538356_42

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title = "Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation",

abstract = "Fusion of the states of a nonlinear dynamic multiscale system (DMS) on the basis of available noisy measurements is one of the well-known key problems in modern control theory. To the best of our knowledge, all of the previous work focused attention on linear DMS. However, nonlinear DMS has never been investigated. In this paper, modeling and fusion estimation of dynamic multiscale system subject to nonlinear measurement equation is proposed. Haar wavelet is used to link the scales. Monte Carlo simulation results demonstrate that the proposed algorithm is effective and powerful in this kind of nonlinear dynamic multiscale system estimation problem.",

author = "Peiling Cui and Quan Pan and Guizeng Wang and Jianfeng Cui",

year = "2005",

doi = "10.1007/11538356_42",

language = "英语",

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pages = "405--413",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "PART II",

note = "International Conference on Intelligent Computing, ICIC 2005 ; Conference date: 23-08-2005 Through 26-08-2005",

}

Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation. / Cui, Peiling; Pan, Quan; Wang, Guizeng et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3645, No. PART II, 2005, p. 405-413.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation

AU - Cui, Peiling

AU - Pan, Quan

AU - Wang, Guizeng

AU - Cui, Jianfeng

PY - 2005

Y1 - 2005

N2 - Fusion of the states of a nonlinear dynamic multiscale system (DMS) on the basis of available noisy measurements is one of the well-known key problems in modern control theory. To the best of our knowledge, all of the previous work focused attention on linear DMS. However, nonlinear DMS has never been investigated. In this paper, modeling and fusion estimation of dynamic multiscale system subject to nonlinear measurement equation is proposed. Haar wavelet is used to link the scales. Monte Carlo simulation results demonstrate that the proposed algorithm is effective and powerful in this kind of nonlinear dynamic multiscale system estimation problem.

AB - Fusion of the states of a nonlinear dynamic multiscale system (DMS) on the basis of available noisy measurements is one of the well-known key problems in modern control theory. To the best of our knowledge, all of the previous work focused attention on linear DMS. However, nonlinear DMS has never been investigated. In this paper, modeling and fusion estimation of dynamic multiscale system subject to nonlinear measurement equation is proposed. Haar wavelet is used to link the scales. Monte Carlo simulation results demonstrate that the proposed algorithm is effective and powerful in this kind of nonlinear dynamic multiscale system estimation problem.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - PART II

T2 - International Conference on Intelligent Computing, ICIC 2005

Y2 - 23 August 2005 through 26 August 2005

ER -

Multiresolution fusion estimation of dynamic multiscale system subject to nonlinear measurement equation

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