Abstract
In this paper, a new identification method based on echo state network (ESN) is proposed to identify the parameters of a class of discrete-time nonlinear systems. Through analyzing the characteristics of output signals, the identification method can determine the maximal delay time of the given nonlinear system. To obtain the better prediction and identification accuracy of this method, an online learning algorithm is proposed to train the output weights of ESN. Simulation examples show the effectiveness of the proposed identification method.
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