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dc.contributor.authorChai, Q.
dc.contributor.authorLoxton, Ryan
dc.contributor.editorShengyuan Xu
dc.contributor.editorQianchuan Zhao
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.

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.titleA gradient-based parameter identification method for time-delay chaotic systems
dc.typeConference Paper
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

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curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access

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