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https://scholarbank.nus.edu.sg/handle/10635/62162
| Title: | Evolutionary system identification in the time domain | Authors: | Tan, K.C. Li, Y. |
Keywords: | Genetic algorithms System identification |
Issue Date: | 1997 | Citation: | Tan, K.C.,Li, Y. (1997). Evolutionary system identification in the time domain. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering 211 (5) : 319-323. ScholarBank@NUS Repository. | Abstract: | 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. © IMechE 1997. | Source Title: | Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering | URI: | http://scholarbank.nus.edu.sg/handle/10635/62162 | ISSN: | 09596518 |
| Appears in Collections: | Staff Publications |
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