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dc.contributor.authorChai, Q.
dc.contributor.authorLoxton, Ryan
dc.contributor.editorShengyuan Xu and Qianchuan Zhao
dc.date.accessioned2017-01-30T10:58:28Z
dc.date.available2017-01-30T10:58:28Z
dc.date.created2014-08-04T20:00:23Z
dc.date.issued2014
dc.identifier.citationChai, Q. and Loxton, R. 2014. A gradient-based parameter identification method for time-delay chaotic systems, in Xu, S. and Zhao, Q. (ed), Proceedings of the 33rd Chinese Control Conference, Jul 28-30 2014, pp. 6566-6570. Nanjing, China: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/7227
dc.description.abstract

In this paper, the parameter identification problem for a general class of time-delay chaotic systems is considered. The objective of the problem is to determine optimal values for an unknown time-delay and unknown system parameters such that the dynamic model of the system best fits given experimental data. We propose a gradient-based optimization algorithm to solve this problem, where accurate values for the partial derivatives of the error function are obtained by solving a set of auxiliary time-delay systems. Simulation results for two example problems show that the proposed algorithm is robust and efficient.

dc.publisherIEEE
dc.titleA gradient-based parameter identification method for time-delay chaotic systems
dc.typeConference Paper
dcterms.source.startPage6566
dcterms.source.endPage6570
dcterms.source.titleProceedings of the 33rd Chinese Control Conference
dcterms.source.seriesProceedings of the 33rd Chinese Control Conference
dcterms.source.conference33rd Chinese Control Conference
dcterms.source.conference-start-dateJul 28 2014
dcterms.source.conferencelocationNanjing, China
dcterms.source.placeNanjing, China
curtin.note

Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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