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Evolutionary system identification in the time domain

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. ISSN 0959-6518 (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:Article
Status:Published
Refereed:Yes
Glasgow Author(s):Li, Prof 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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
101101Evolutionary programming for nonlinear controlYun LiScience & Engineering Research Council (SERC)GR/K24987Systems Power and Energy