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A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior information about the system's fixed points.
A collection of Matlab routines for constructing Radial Basis Function (Neural) Network models of NARX-type nonlinear dynamical systems from data. It also includes the possibility of incorporating prior information about the underlying system's steady states in the structure selection of the RBF models.
This repository contains a collection of assignments completed for the System Identification and Parameter Estimation (TIP7044) course at the Federal University of Ceará during my Master's degree.