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动态电源管理的随机切换模型与策略优化
引用本文:江琦,奚宏生,殷保群. 动态电源管理的随机切换模型与策略优化[J]. 计算机辅助设计与图形学学报, 2006, 18(5): 680-686
作者姓名:江琦  奚宏生  殷保群
作者单位:中国科学技术大学自动化系,合肥,230027;中国科学技术大学自动化系,合肥,230027;中国科学技术大学自动化系,合肥,230027
基金项目:中国科学院资助项目;安徽省自然科学基金
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.

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
收稿时间:2005-04-16
修稿时间:2005-12-19

Stochastic Switching Model and Policy Optimization for Dynamic Power Management
Jiang Qi,Xi Hongsheng,Yin Baoqun. Stochastic Switching Model and Policy Optimization for Dynamic Power Management[J]. Journal of Computer-Aided Design & Computer Graphics, 2006, 18(5): 680-686
Authors:Jiang Qi  Xi Hongsheng  Yin Baoqun
Affiliation:Department of Automation, University of Science and Technology of China, Hefei 230027
Abstract: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.
Keywords:dynamic power management   Markov decision processes   stochastic switching model   policy optimization   gradient algorithm
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