| 基于驱动信息控制项的灰色多变量离散时滞模型及其应用 |
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| 引用本文： | 党耀国,魏龙,丁松.基于驱动信息控制项的灰色多变量离散时滞模型及其应用[J].控制与决策,2017,32(9):1672-1680. |
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| 作者姓名： | 党耀国 魏龙 丁松 |
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| 作者单位： | 南京航空航天大学经济与管理学院,南京211106,南京航空航天大学经济与管理学院,南京211106,南京航空航天大学经济与管理学院,南京211106 |
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| 基金项目： | 国家自然科学基金项目(71071077,71371098)；中央高校基本科研业务费专项基金项目(NC2012001, NR2013033)；江苏高校哲学社会科学重点研究基地项目(2012JDXM005). |
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| 摘 要： | 针对传统灰色多变量离散模型存在未考虑各驱动因素的时滞动态变化特征及未利用各驱动因素往期数据的问题,通过引入驱动信息控制项调整系数${T_i
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| 关 键 词： | 灰色模型 DDGMD$(1 N)$模型 驱动信息控制项 时滞 能源消费量 |
Delay multi-variables discrete grey model based on the driving-information control and its application |
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| DANG Yao-guo,WEI Long and DING Song.Delay multi-variables discrete grey model based on the driving-information control and its application[J].Control and Decision,2017,32(9):1672-1680. |
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| Authors: | DANG Yao-guo WEI Long and DING Song |
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| Affiliation: | College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China,College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China and College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China |
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| Abstract: | Aiming at the problem that traditional grey multi-variable discrete models don''t consider the time-delay dynamic characteristics and the utilization of previous data of the driving variables, a new grey multi-variable discrete model, abbreviated as DDGMD$(1,N)$, is constructed. And a model parameter calculation method is discussed by introducing adjustment coefficient ${T_i |
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