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一类可数Markov控制过程的最优平稳策略 被引量:1

Optimal stationary policies for a class of countable Markov control processes
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摘要 研究了一类具有可数状态空间的Markov控制过程在无限水平平均代价准则下的最优平稳策略问题.对此类过程,引入了折扣Poisson方程,运用无穷小矩阵和性能势的基本性质,导出了平均代价模型在紧致行动集上的最优性方程,并证明了其解的一个存在性定理. The problems of optimal stationary policies are studied for a class of Markov control processes with countable state spaces and infinite horizon average-cost criteria.The discounted Poisson equation is introduced for these processes.Using the basic properties of infinitesimal generators and performance potentials,the optimality equation is given for the average-cost model on a compact action set,and an existence theorem of the solution to this equation is proved.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2005年第1期43-46,共4页 Control Theory & Applications
基金 国家自然科学基金资助项目(60274012) 安徽省自然科学基金资助项目(01042308).
关键词 可数Markov控制过程 性能势 平均代价准则 紧致行动集 最优平稳策略 countable Markov control process performance potential average-cost criteria compact action set optimal stationary policy
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