Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network

Xianshuang Yao1, Zhanshan Wang1, Huaguang Zhang1

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China.

Summary

A novel adaptive echo state network (AESN) method enhances the prediction and identification of discrete-time dynamic nonlinear systems (DDNS). This approach optimizes reservoir parameters and uses an improved online learning method for better performance.

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