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

小行星9602939费尔南德斯 这个美国-墨西哥奖将支持亚利桑那大学的Emmanuel费尔南德斯教授与墨西哥Saltillo自治农业大学的Rolando Cavazos Cadena教授进行研究合作。 研究人员打算开发一个合作项目，将创新研究活动和随机控制算法软件开发相结合。 特别是，合作者打算追求最佳决策和控制问题的控制马尔可夫模型。 离散事件随机动态系统（DESDS）是系统与控制、运筹学和基于知识的系统交叉的一个广泛的跨学科研究领域。 DESDS研究的重点是构成我们技术社会核心的复杂人造系统，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。 在该领域中的许多问题的一个共同特征是试图获得用于操作系统的规则，该规则优化适当的性能度量，并且明确地考虑到问题的随机和离散事件驱动的性质。 拟议的合作将汇集经验丰富的研究人员与互补的技能：墨西哥调查员是随机控制的数学和概率理论的专家，美国调查员将贡献他的技能在随机控制模型和技术的工程和管理应用，并在软件开发。 ***

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. ***