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. (doi:10.1243/0959651971539849)
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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.
|Glasgow Author(s) Enlighten ID:||Li, Professor 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.|