AbstractThis paper deals with identification and control of non‐linear systems that contain linear parameters and a non‐linear quasi‐input function of the real input signal. Least squares have been used to estimate the linear parametric part, while a neural feedforward net is employed to estimate the remaining non‐linearity. Performance considerations are illustrated by hybrid algorithm simu
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