A gradient-based parameter identification method for time-delay chaotic systems
| dc.contributor.author | Chai, Q. | |
| dc.contributor.author | Loxton, Ryan | |
| dc.contributor.editor | Shengyuan Xu | |
| dc.contributor.editor | Qianchuan Zhao | |
| dc.date.accessioned | 2017-01-30T10:58:28Z | |
| dc.date.available | 2017-01-30T10:58:28Z | |
| dc.date.created | 2014-08-04T20:00:23Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Chai, 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.uri | http://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.publisher | IEEE | |
| dc.title | A gradient-based parameter identification method for time-delay chaotic systems | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 6566 | |
| dcterms.source.endPage | 6570 | |
| dcterms.source.title | Proceedings of the 33rd Chinese Control Conference | |
| dcterms.source.series | Proceedings of the 33rd Chinese Control Conference | |
| dcterms.source.conference | 33rd Chinese Control Conference | |
| dcterms.source.conference-start-date | Jul 28 2014 | |
| dcterms.source.conferencelocation | Nanjing, China | |
| dcterms.source.place | Nanjing, China | |
| curtin.note |
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| curtin.department | Department of Mathematics and Statistics | |
| curtin.accessStatus | Open access |