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工业过程随机稳态优化控制算法的鲁棒性分析
引用本文:许立俭,万百五.工业过程随机稳态优化控制算法的鲁棒性分析[J].控制与决策,1994,9(1):14-19.
作者姓名:许立俭  万百五
作者单位:西安交通大学系统工程研究所
摘    要: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.

关 键 词:稳态控制,优化算法,鲁棒性

Robustness of Stochastic Optimization Algorithms for Steady-state Industrial Processes
Xu Lijian,Wan Baiwu,Han Chongzhao.Robustness of Stochastic Optimization Algorithms for Steady-state Industrial Processes[J].Control and Decision,1994,9(1):14-19.
Authors:Xu Lijian  Wan Baiwu  Han Chongzhao
Affiliation:Xi' an Jiaotong University
Abstract: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.
Keywords:steady-state  optimal algorithms  robustness  
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