提出了一种非线性离散动态大系统系统优化与参数估计集成的关联预测递阶算法 .在各子系统模型与实际存在差异的情况下 ,将动态系统系统优化与参数估计集成 ( DISOPE)方法与关联预测法相结合 ,得到一个上级协调 ,下级进行各子系统优化与参数估计集成的双环迭代算法 ,从模型出发通过迭代运算能得到实际系统在存在模型 -实际差异时的真实最优解 .仿真结果表明了算法的有效性和实用性 In this paper, an integrated hierarchical predictive predictive algorithm for system optimization and parameter estimation of nonlinear discrete dynamic large-scale systems is proposed. In the case of the difference between each subsystem model and the actual situation, the DISOPE (Dynamic System System Integration and Parameter Estimation Integration) Correlation forecasting method to obtain a double-loop iterative algorithm with higher-level coordination and sub-system optimization and parameter estimation integration. From the model, through iterative computation, the real optimal solution can be obtained when the actual system exists in the model-actual difference. It shows that the algorithm is effective and practical