Optimal control of dynamic teams under constraints and uncertainty

拟议的研究方案的目标是开发一种系统的方法来实现分散系统的最优控制，其中所有主体都有一个共同的目标。这种被称为动态团队的系统出现在几乎所有现代技术中，包括网络控制系统、通信网络、传感器和监视网络、环境遥感、智能电网、交通网络、监测和诊断系统以及机器人技术。 该提案考虑了动态团队的三个方面：(I)理解信息共享在动态团队中的作用。这将深入了解控制器之间共享信息的基础设施成本与改进性能和简化设计方面的好处之间的权衡。(二)了解有约束的动态团队的设计。这将为控制器的随机化策略的选择和满足约束的随机化过程的选择提供见解。(3)理解具有模型不确定性的动态团队设计。这将为分散系统的自适应控制和学习提供一个框架。 拟议的研究计划将在系统科学和控制工程的基础领域为本科生和研究生提供全面的培训，从而为他们未来的爱好奠定坚实的基础。

The objective of the proposed research program is to develop a systematic methodology for the optimal control of decentralized systems where all agents have a common objective. Such systems, which are called dynamic teams, arise in almost all modern technologies, including networked control systems, communication networks, sensor and surveillance networks, environmental remote sensing, smart grids, transportation networks, monitoring and diagnostic systems, and robotics. This proposal considers three aspects of dynamic teams: (i) Understanding the role of information sharing in dynamic teams. This will provide insights into the trade offs between the infrastructure cost of sharing of information between the controllers and the benefits in terms of improved performance and simplification of design. (ii) Understanding the design of dynamic teams with constraints. This will provide insights into the choice of randomized strategies at the controllers and the choice of a randomizing process to meet the constraints. (iii) Understanding the design of dynamic teams with model uncertainty. This will provide a framework of adaptive control and learning in decentralized systems. The proposed research program will provide a broard training to undergraduate and graduate students in fundamental areas of system science and control engineering, thereby providing them with a solid foundation for their future envdeavors.