提出了一种Hénon混沌系统的自适应预测控制与同步快速算法。该方法以不确定非线性差分方程为预测模型,预测模型的参数采用递推最小二乘法在线辨识得到。该控制算法占用内存小,计算速度快,具有较强的跟踪给定信号和抑制系统参数摄动和随机噪声的能力。仿真结果验证了该方法的有效性。 A fast adaptive predictive control and synchronization algorithm for Hénon chaotic system is proposed. The method takes the uncertain nonlinear difference equation as the prediction model, and the parameters of the prediction model are recursively identified by recursive least square method. The control algorithm takes up less memory, faster calculation speed and stronger ability to track given signals and restrain system parameter perturbation and random noise. Simulation results verify the effectiveness of this method.