| 非线性动态投入产出优化模型中的预测变量—时间分解方法 |
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| 引用本文： | 何建敏,达庆利,徐南荣.非线性动态投入产出优化模型中的预测变量—时间分解方法[J].东南大学学报(自然科学版),1987(2). |
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| 作者姓名： | 何建敏 达庆利 徐南荣 |
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| 作者单位： | 南京工学院自动化研究所，南京工学院自动化研究所，南京工学院自动化研究所 |
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| 摘 要： | 本文研究多年延滞非线性动态投入产出模型的递阶优化问题。文中将Hassan共态预测法和Tamura时延算法的主要思想相结合,提出和使用了预测变量一时间分解方法,导出了非线性三级递阶优化结构。有关结果亦适用于具有类似数学结构的其它高维非线性动态优化问题。
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| 关 键 词： | 非线性大系统 递阶优化 动态投入产出模型 最优经济规划 |
The Variable Prediction-Time Decomposition Technique in the Nonlinear Dynamical Input-Output Optimal Model |
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| He Jianmin,Da Qingli,Xu Nanrong.The Variable Prediction-Time Decomposition Technique in the Nonlinear Dynamical Input-Output Optimal Model[J].Journal of Southeast University(Natural Science Edition),1987(2). |
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| Authors: | He Jianmin Da Qingli Xu Nanrong |
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| Institution: | Research Institute of Automation |
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| Abstract: | In this paper the hierarchical optimization of a nonlinear dynamical input-output model with time delays is studied. Combinig the strategies of costate prediction approach by Hassan and Singh and the time-delay coordination algorithm by Tamura, the variable prediction-time decomposition technique is put forward. Using the technique, the nonlinear three-level hierarchical optimization structure is formulated. The related conclusions proposed by the paper may also be used to solve other high dimensional nonlinear optimization problems with similar mathematical structures |
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| Keywords: | nonlinear large-scale systems hierarchical optimization dynamical input-output model optimum programming |
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