工业过程随机稳态优化控制算法的鲁棒性分析

Robustness of Stochastic Optimization Algorithms for Steady-state Industrial Processes

本文给出了一种随机稳态优化算法的灵敏度分析，讨论算法解对参数变化的关系。这些参数代表系统结构参数或噪声向量的某些数字特征．

In order to use the dynamic response information for steady-state optimizing control in industrial processes, a new algorithm for solving the stochastic steady-state optimizing control is presented in [4].This paper gives an approch to investigate the sensitivity of the algorithm, and discusses the dependence of the optimal solution coming from the algorithm on the parameters.