针对混沌时间序列局域自适应预测方法在多步预测中预测器系数无法调节的问题,根据混沌时间序列的短期可预测性及自适应算法的自适应跟踪混沌运动轨迹的特点,提出了混沌时间序列多步自适应预测方法.仿真结果表明,此方法的多步预测性能明显好于局域自适应预测方法的多步预测性能. Aiming at the problem that the predictor coefficients can not be adjusted in the multi-step prediction, aiming at the short-term predictability of the chaotic time series and the adaptive tracking of the chaotic trajectory by the adaptive algorithm, a chaotic time Sequence multi-step adaptive prediction method.The simulation results show that the multi-step prediction performance of this method is significantly better than the multi-step prediction performance of the local adaptive prediction method.