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基于优性指标的灰色风险型多指标决策方法 被引量:4
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作者 秦玉慧 罗党 《河南教育学院学报(自然科学版)》 2007年第3期4-6,13,共4页
针对指标权重完全未知且指标值为区间灰数的风险型多指标决策问题进行了研究,提出了基于优性指标的灰色风险型多指标决策方法;利用区间灰数大小比较的可能度、优性指标矩阵和分析技巧,将原问题转化为指标值为实数的无风险多指标决策问题... 针对指标权重完全未知且指标值为区间灰数的风险型多指标决策问题进行了研究,提出了基于优性指标的灰色风险型多指标决策方法;利用区间灰数大小比较的可能度、优性指标矩阵和分析技巧,将原问题转化为指标值为实数的无风险多指标决策问题;利用信息熵确定出指标权重,给出了两种相应的算法,进而得到方案集的排序并进行择优;应用实例说明了所提出的两种算法的合理性和有效性. 展开更多
关键词 指标风险型决策 优性指标 信息熵 波达选择函数
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效用值为区间数的风险型决策问题分析 被引量:1
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作者 姚升保 岳超源 +1 位作者 崔万安 陈阳 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2005年第12期102-104,共3页
从敏感性分析的角度讨论后果效用值用区间数表示的风险型决策问题.基于区间数大小比较的可能度概念,定义了描述行动优劣的行动优性指标,并给出了该指标的若干性质;利用行动优性指标,提出了一种求解效用值用区间数表示的风险型决策问题... 从敏感性分析的角度讨论后果效用值用区间数表示的风险型决策问题.基于区间数大小比较的可能度概念,定义了描述行动优劣的行动优性指标,并给出了该指标的若干性质;利用行动优性指标,提出了一种求解效用值用区间数表示的风险型决策问题的方法.针对这个简单直观的决策方法,重点分析了决策评价结果对主观概率变化的敏感性.具体针对当自然状态的主观概率发生变化时,分析了某个行动成为最优行动的可能性,并给出了保证该行动成为最优行动(如果可能的话)的主观概率的变化范围.最后,给出了一个实例进一步阐述了分析结果. 展开更多
关键词 风险型决策 主观概率 区间数 优性指标 敏感分析
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Constitution of Hamiltonian Function and Solution of Optimal Control of a Sort of Performance Index
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作者 刘先省 文成林 《Chinese Quarterly Journal of Mathematics》 CSCD 1998年第2期97-102, ,共6页
Hamiltonian function is firstly constituted for solving optimal control. When character of controlled object is known,Hamiltonian function is determined by performance index. In this paper,by constituting Hamiltonian ... Hamiltonian function is firstly constituted for solving optimal control. When character of controlled object is known,Hamiltonian function is determined by performance index. In this paper,by constituting Hamiltonian function and solving optimal control of a sort of performance index,we can understand optimal control theory and apply optimal control method better. 展开更多
关键词 Hamiltonian function optimal control performance index
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Real-time optimization power-split strategy for hybrid electric vehicles 被引量:7
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作者 XIA Chao Ying ZHANG Cong 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第5期814-824,共11页
Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A rea... Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A real-time optimization power-split strategy is proposed based on linear quadratic optimal control. The battery state of charge sustainability and fuel economy are ensured by designing a quadratic performance index combined with two rules. The engine power and motor power of this strategy are calculated in real-time based on current system state and command, and not related to future driving conditions. The simulation results in ADVISOR demonstrate that, under the conditions of various driving cycles, road slopes and vehicle parameters, the proposed strategy significantly improves fuel economy, which is very close to that of the optimal control based on Pontryagin's minimum principle, and greatly reduces computation complexity. 展开更多
关键词 hybrid electric vehicle (HEV) linear quadratic optimal control real-time control energy management strategy
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