U.S.-Mexico Collaborative Research: New Directions in Stochastic Optimal Control; Non-Standard Optimality Criteria, Algorithms, and Software Laboratory

美国-墨西哥合作研究：随机最优控制的新方向；

• 批准号: 9602939
• 负责人: Emmanuel Fernandez
• 金额: $ 1.9万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-12-15 至 1999-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9602939&HistoricalAwards=false
• 关键词: U.S.; Mexico; Collaborative; Research; New

9602939 Fernandez This U.S-Mexico award will support Prof. Emmanuel Fernandez of the University of Arizona in a research collaboration with Prof. Rolando Cavazos Cadena of the Universidad Autonoma Agraria in Saltillo, Mexico. The investigators intend to develop a collaborative program that integrates innovative research activities and algorithmic software development in stochastic control. In particular, the collaborators intend to pursue optimal decision and control problems for controlled Markov models. Discrete event stochastic dynamic systems (DESDS) constitute a broad and interdisciplinary area of research at the intersection of systems and control, operations research, and knowledge-based systems. The focus of DESDS research are the complex, man-made systems that form the core of our technological society, for example, telecommunications and computer networks; production and manufacturing systems; and military and service industry logistics. A common feature of many of the problems in the field attempts to obtain rules for operating a system, which optimize an appropriate performance measure, and which explicitly take into account the stochastic and discrete event-driven nature of the problems. The proposed collaboration will bring together experienced researchers with complementary skills: the Mexican investigator is an expert on the mathematical and probabilistic theory of stochastic control and the U.S. investigator will contribute his skills in the engineering and management applications of stochastic control models and techniques, and in software development. ***

9602939费尔南德斯这一美国-墨西哥奖项将支持亚利桑那大学的伊曼纽尔·费尔南德斯教授与墨西哥索尔蒂洛农业自治大学的罗兰多·卡瓦佐斯·卡迪纳教授开展研究合作。研究人员打算开发一个合作项目，将随机控制领域的创新研究活动和算法软件开发整合在一起。特别是，合作者打算寻求受控马尔可夫模型的最优决策和控制问题。离散事件随机动态系统(DESD)是系统与控制、运筹学和基于知识的系统的交叉点上的一个广泛的跨学科研究领域。DESD研究的重点是构成我们技术社会核心的复杂的人造系统，例如电信和计算机网络；生产和制造系统；以及军事和服务业物流。该领域中的许多问题的共同特征试图获得用于操作系统的规则，该规则优化适当的性能测量，并且明确地考虑问题的随机和离散事件驱动的性质。拟议的合作将汇集具有互补技能的经验丰富的研究人员：墨西哥调查员是随机控制的数学和概率理论方面的专家，美国调查员将在随机控制模型和技术的工程和管理应用以及软件开发方面贡献他的技能。***