Abstract
Local sub-model networks based nonlinear approximated model and the identification algorithm are developed for nonlinear system. The structure of local sub-model is selected through a criterion with respect to both the approximation accuracy and model simplicity for the further applications. The computional load of identification does not change so much with the increaing of number of sub-models. The sub-model can be a linear model, or a simple block-oriented nonlinear model to improve the model accuracy and convergence performance of the identification algortihm.
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