A gradient-based parameter identification method for time-delay chaotic systems
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 experimen...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/7227 |
| _version_ | 1848745308334325760 |
|---|---|
| author | Chai, Q. Loxton, Ryan |
| author2 | Shengyuan Xu |
| author_facet | Shengyuan Xu Chai, Q. Loxton, Ryan |
| author_sort | Chai, Q. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:15:18Z |
| format | Conference Paper |
| id | curtin-20.500.11937-7227 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:15:18Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-72272023-02-13T08:01:36Z A gradient-based parameter identification method for time-delay chaotic systems Chai, Q. Loxton, Ryan Shengyuan Xu Qianchuan Zhao 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. 2014 Conference Paper http://hdl.handle.net/20.500.11937/7227 IEEE fulltext |
| spellingShingle | Chai, Q. Loxton, Ryan A gradient-based parameter identification method for time-delay chaotic systems |
| title | A gradient-based parameter identification method for time-delay chaotic systems |
| title_full | A gradient-based parameter identification method for time-delay chaotic systems |
| title_fullStr | A gradient-based parameter identification method for time-delay chaotic systems |
| title_full_unstemmed | A gradient-based parameter identification method for time-delay chaotic systems |
| title_short | A gradient-based parameter identification method for time-delay chaotic systems |
| title_sort | gradient-based parameter identification method for time-delay chaotic systems |
| url | http://hdl.handle.net/20.500.11937/7227 |