Please use this identifier to cite or link to this item: http://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
Source: 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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