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CONTINUOUS TIME MARKOV DECISION PROGRAMMING WITH AVERAGE REWARD CRITERION AND UNBOUNDED REWARD RATE
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作者 郑少慧 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1991年第1期6-16,共11页
This paper deals with the continuous time Markov decision programming (briefly CTMDP) withunbounded reward rate.The economic criterion is the long-run average reward. To the models withcountable state space,and compac... This paper deals with the continuous time Markov decision programming (briefly CTMDP) withunbounded reward rate.The economic criterion is the long-run average reward. To the models withcountable state space,and compact metric action sets,we present a set of sufficient conditions to ensurethe existence of the stationary optimal policies. 展开更多
关键词 CONTINUOUS TIME MARKOV DECISION PROGRAMMING WITH average REWARD criterion AND UNBOUNDED REWARD RATE CTMDP
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Zero-Sum Stochastic Games with Average Payoffs:New Optimality Conditions 被引量:1
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作者 Jie YANG Xian Ping GUO 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2009年第7期1201-1216,共16页
In this paper we study zero-sum stochastic games. The optimality criterion is the long-run expected average criterion, and the payoff function may have neither upper nor lower bounds. We give a new set of conditions f... In this paper we study zero-sum stochastic games. The optimality criterion is the long-run expected average criterion, and the payoff function may have neither upper nor lower bounds. We give a new set of conditions for the existence of a value and a pair of optimal stationary strategies. Our conditions are slightly weaker than those in the previous literature, and some new sufficient conditions for the existence of a pair of optimal stationary strategies are imposed on the primitive data of the model. Our results are illustrated with a queueing system, for which our conditions are satisfied but some of the conditions in some previous literatures fail to hold. 展开更多
关键词 zero-sum stochastic games countable state space expected average criterion new condi- tion a pair of optimal stationary strategies
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Multi-objective Model Predictive Control of Grid-connected Three-level Inverter Based on Hierarchical Optimization
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作者 Ting Liu Yong Li +4 位作者 Li Jiang Jianghu Wan Jiaqi Yu Chao Ding Yijia Cao 《Chinese Journal of Electrical Engineering》 CSCD 2021年第1期63-72,共10页
In order to solve the problem of weighting factors selection in the conventional finite-control-set model predictive control for a grid-connected three-level inverter,an improved multi-objective model predictive contr... In order to solve the problem of weighting factors selection in the conventional finite-control-set model predictive control for a grid-connected three-level inverter,an improved multi-objective model predictive control without weighting factors based on hierarchical optimization is proposed.Four control objectives are considered in this strategy.The grid current and neutral-point voltage of the DC-link are taken as the objectives in the first optimization hierarchy,and by using fuzzy satisfaction decision,several feasible candidates of voltage vectors are determined.Then,the average switching frequency and common-mode voltage are optimized in the second hierarchy.The average ranking criterion is introduced to sort the objective functions,and the best voltage vector is obtained to realize the coordinated control of multiple objectives.At last,the effectiveness of the proposed strategy is verified by simulation results. 展开更多
关键词 Multi-objective model predictive control grid-connected three-level inverter hierarchical optimization fuzzy satisfaction decision average ranking criterion
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