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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62162
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dc.titleEvolutionary system identification in the time domain
dc.contributor.authorTan, K.C.
dc.contributor.authorLi, Y.
dc.date.accessioned2014-06-17T06:48:04Z
dc.date.available2014-06-17T06:48:04Z
dc.date.issued1997
dc.identifier.citationTan, 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.
dc.identifier.issn09596518
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62162
dc.description.abstractAbstract: 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.
dc.sourceScopus
dc.subjectGenetic algorithms
dc.subjectSystem identification
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
dc.description.volume211
dc.description.issue5
dc.description.page319-323
dc.description.codenPMJEE
dc.identifier.isiutNOT_IN_WOS
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