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动态电源管理的随机切换模型与策略优化 被引量：4

Stochastic Switching Model and Policy Optimization for Dynamic Power Management
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摘要 提出一种基于连续时间Markov决策过程的动态电源管理策略优化方法.通过建立动态电源管理系统的随机切换模型,将动态电源管理问题转化为带约束的策略优化问题,并给出一种基于矢量合成的策略梯度优化算法.随机切换模型对动态电源管理系统的描述精确,策略优化算法简便有效,既能离线计算,也适用于在线优化.仿真实验验证了该方法的有效性. Based on continuous-time Markov decision processes, a power management policy optimization approach is proposed. First an event-driven stochastic switching model is introduced for power-managed systems. Under this model, the problem of dynamic power management is formulated as a constrained policy optimization problem. Then an efficient synthetic gradient-based policy optimization algorithm is presented. This algorithm can be employed to on-line optimization as well as off-line numerical computation.Finally, a simulation example is given to illustrate the effectiveness of the proposed approach.
作者 江琦 奚宏生 殷保群
机构地区 中国科学技术大学自动化系
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2006年第5期680-686,共7页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(60274012 60574065) 安徽省自然科学基金(050420301)
关键词 动态电源管理 MARKOV决策过程 随机切换模型 策略优化 梯度算法 dynamic power management Markov decision processes stochastic switching model policy optimization gradient algorithm
分类号 TP391.7 [自动化与计算机技术—计算机应用技术]
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参考文献19

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二级参考文献42

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共引文献20

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计算机辅助设计与图形学学报
2006年 第5期

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