Tan, K.C. and Li, Y. (1997) Evolutionary system identification in the time domain. Institution of Mechanical Engineers. Proceedings. Part I: Journal of Systems and Control Engineering, 211(5), pp. 319-323. (doi: 10.1243/0959651971539849)
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Abstract
This paper develops a genetic algorithm based technique that may be used to identify multivariable system identification directly from plant step response data. Using this technique, globally optimized models for linear and non-linear systems can be identified without the need for a differentiable cost function or linearly separable parameters. Results are validated against a benchmark identification problem and a laboratory test-rig for continuous and discrete-time systems.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Li, Professor Yun |
| Authors: | Tan, K.C., and Li, Y. |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Research Group: | Intelligent Systems |
| Journal Name: | Institution of Mechanical Engineers. Proceedings. Part I: Journal of Systems and Control Engineering |
| Publisher: | Sage Publications Ltd. |
| ISSN: | 0959-6518 |
| ISSN (Online): | 2041-3041 |
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