Evolutionary System Identification in the Time-Domain
نویسندگان
چکیده
This paper develops a genetic algorithm based multivariable system identification technique from plant step response data directly. Using this technique, globally optimised models for linear and nonlinear systems can be identified without the need of 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.
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