关键词: 双启发动态规划, 烧成系统, 建模, 控制

Abstract: In order to overcome curse of dimensionality of dynamic programming method on solving the high-dimensional optimization problem, it uses function approximation method to approximate the cost function and gets approximate dynamic programming solution through self-learning method. This method is suitable for complex, nonlinear systems optimization or control of the decision-making problems. Dual Heuristic dynamic Programming（DHP） algorithm is used to control the cement burning system. It establishes the critic and action module using neural network to optimize the control of the system. By finding a suitable objective function, the critic module determines good or bad actions and feeds back to the action module, action module for adjusting the amount of each parameter is given. Simulation results show that the system state variables can be stable at a reasonable range.

Key words: Dual Heuristic dynamic Programming（DHP）, burning system, modeling, control