A Chaotic Time Series Identification Method Based on Nonlinear Adaptive IIR Filters
基于非线性自适应IIR滤波器的混沌时间序列辨识方法

A nonlinear adaptive IIR filter identification algorithm of chaotic time series is presented. Nonlinear IIR filters are used to track dynamic characteristics of nonlinear chaotic dynamic systems and to identify the systems. The experimental results show that this algorithm has high identification abilities and high antinoise properties.