论文信息 - An Evolutionary Approach to Non-Linear Polynomial System Identification

An Evolutionary Approach to Non-Linear Polynomial System Identification

Abstract This work presents a genetic programming approach to the identification of polynomial models for non-linear systems. The genetic approach optimises the Akaike Information Criterion (AIC) in order to find the model structure and estimate the parameters. This includes a measures of the number of terms in the model which can be of varying degree and lag.

Peter J. Fleming | Carlos M. Fonseca | Katya Rodríguez-Vázquez

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