An automatic identification technique for a class of nonlinear systems

A method is presented for the automatic identification of the unknown parameters of a class of nonlinear systems. The method is based on a modification of a steepest-descent type of adjustment technique which has proven useful in the identification of the unknown parameters of linear systems. Stability and convergence of the tracking model are assured by the proposed method.