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Multistage parameter estimation algorithms for identification of bilinear systems

Multistage parameter estimation algorithms for identification of bilinear systems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2739306778

Multistage parameter estimation algorithms for identification of bilinear systems

About this item

Full title

Multistage parameter estimation algorithms for identification of bilinear systems

Publisher

Dordrecht: Springer Netherlands

Journal title

Nonlinear dynamics, 2022-11, Vol.110 (3), p.2635-2655

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

In this paper, two methods for parameter estimation of bilinear state-space systems with colored noise, which are expressed by ARMA model, are proposed. Using the hierarchical identification principle and gradient method, to reduce the computational cost, both the four-stage recursive least squares algorithm and the four-stage stochastic gradient a...

Alternative Titles

Full title

Multistage parameter estimation algorithms for identification of bilinear systems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2739306778

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2739306778

Other Identifiers

ISSN

0924-090X

E-ISSN

1573-269X

DOI

10.1007/s11071-022-07749-0

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