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|Title:||Evolutionary system identification in the time domain||Authors:||Tan, K.C.
|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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