Parameter identification of time-delayed nonlinear systems: An integrated method with adaptive noise correction

Zhang, X; Ji, J; Xu, J

Parameter identification of time-delayed nonlinear systems: An integrated method with adaptive noise correction

Zhang, X Ji, J

Xu, J

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Journal of the Franklin Institute-Engineering and Applied Mathematics, 2019, 356, (11), pp. 5858-5880
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Zhang, X
dc.contributor.author	Ji, J https://orcid.org/0000-0003-3280-5463
dc.contributor.author	Xu, J
dc.date.accessioned	2020-05-07T06:23:45Z
dc.date.available	2020-05-07T06:23:45Z
dc.date.issued	2019-07-01
dc.identifier.citation	Journal of the Franklin Institute-Engineering and Applied Mathematics, 2019, 356, (11), pp. 5858-5880
dc.identifier.issn	0016-0032
dc.identifier.issn	0016-0032
dc.identifier.uri	http://hdl.handle.net/10453/140546
dc.description.abstract	© 2019 The Franklin Institute This paper proposes a novel method called the adaptive-noise-correction integrated parameter identification (ANCPI) for time-delayed nonlinear systems. Compared with the existing de-noising techniques, the significance of the proposed method is the use of the system itself to correct the noise-polluted components so that the accuracy of parameter identification is enhanced. To achieve the goal of adaptive noise correction, this study starts from the case of periodic response and then parameterizes the noise correction as the coefficient correction of harmonic basis. In this way, the parameter identification integrated with noise correction can be performed as the parameter optimization of the error function. For the convenience of application, a user-friendly program package is further provided and a detailed tutorial is presented in the supplementary material.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Journal of the Franklin Institute-Engineering and Applied Mathematics
dc.relation.isbasedon	10.1016/j.jfranklin.2019.03.023
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0906 Electrical and Electronic Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.title	Parameter identification of time-delayed nonlinear systems: An integrated method with adaptive noise correction
dc.type	Journal Article
utslib.citation.volume	356
utslib.for	0102 Applied Mathematics
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-07T06:23:42Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	356
utslib.start-page	5858
utslib.citation.issue	11

Abstract:

© 2019 The Franklin Institute This paper proposes a novel method called the adaptive-noise-correction integrated parameter identification (ANCPI) for time-delayed nonlinear systems. Compared with the existing de-noising techniques, the significance of the proposed method is the use of the system itself to correct the noise-polluted components so that the accuracy of parameter identification is enhanced. To achieve the goal of adaptive noise correction, this study starts from the case of periodic response and then parameterizes the noise correction as the coefficient correction of harmonic basis. In this way, the parameter identification integrated with noise correction can be performed as the parameter optimization of the error function. For the convenience of application, a user-friendly program package is further provided and a detailed tutorial is presented in the supplementary material.

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http://hdl.handle.net/10453/140546