Nonlinear Model Structure Identification Using Genetic Programming
نویسندگان
چکیده
Genetic programming can be used to evolve an algebraic expression as part of an equation representing measured input-output response data. Parts of the nonlinear differential equations describing a dynamic system are identified along with their numerical parameters using genetic programming. The results of several such optimisations are analysed to produce a nonlinear physical representation of the dynamic system. This method is applied to the identification of fluid flow through pipes in a coupled water tank system. A representative nonlinear model is identified.
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تاریخ انتشار 1996