New Techniques for the Control of Multi-Agent Systems in Uncertain Environments

不确定环境下多智能体系统控制新技术

• 批准号: 0500234
• 负责人: Venkatachalam Anantharam
• 金额: $ 30.46万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0500234&HistoricalAwards=false
• 关键词: New; Techniques; Control; Multi; Agent

New techniques for the control of multi-agent systems in uncertain environments"ABSTRACTThe research develops new techniques for the control of multi-agent systems in uncertain environments. The problem area is of critical national and scientific importance, since modern engineered systems deployed for many critical applications are comprised of multiple agents who need to coordinate their actions to achieve a control objective in an uncertain environment. Such systems are used for many applications, including surveillance, environmental monitoring, inventory control, and control in hazardous environments, among many others, in fields such as transportation, medical diagnostics, civil engineering, communications networks, and defense systems.The main scientific ideas being developed are (1) a new technique to tame the complexity of controlling multi-agent systems by a focus on aggregate behavior, i.e. not so much on which agent carries out a given action as on how many agents carry out a given action, and (2) a new technique to based on the use of common randomness between the agents to increase their ability to hedge against uncertainty in the environment.The aggregation techniques to tame complexity that are being developed rely on mean-field methods, which have proven well-suited to exposing phase transitions in physical systems, but have so far not been systematically used for control. The phenomenon of symmetry breaking, which occurs when different portions of a homogeneous system must use different control rules to obtain optimal system wide performance, is of particular interest. The techniques to hedge against uncertainty that are being developed rely on game-theoretic models, as well as methods to extract common randomness from ambient noise and the randomized choices of other agents.

在不确定的环境中控制多机构系统的新技术：“摘要研究为控制不确定的环境中的多代理系统控制的新技术具有至关重要的国家和科学的重要性，因为在许多关键应用中部署的现代工程系统都由许多系统组成，这些机构由多个行动组成，以使其在许多系统中进行范围内的范围，以使许多系统的运用范围内的环境。在危险环境中，在危险环境中的控制和控制等领域，例如运输，医学诊断，土木工程，通信网络和国防系统。开发的主要科学思想是（1）一种新技术来驯服多阶级系统的复杂性，通过对汇总行为的关注，即在哪些方面进行启动的动作（即给定的动作），而不是在哪些行动上进行的，并且许多人都可以（何种行动）（许多人都可以（许多人）（许多人）（许多人）（许多人）（许多人）（许多人）（许多人）（许多人）（许多人）（许多人）（一定的行动）（许多人）（这些动作）（许多人）（许多人都可以遵守某种方法，而这些动作是某种情况下的动作，并且是一项动作（这些动作）（使用代理之间使用共同的随机性来提高对环境中不确定性的对冲能力。正在开发的驯服复杂性的聚集技术取决于均值场方法，这些方法已证明非常适合暴露物理系统中的相位过渡，但到目前为止还没有系统地用于控制。当均质系统的不同部分必须使用不同的控制规则获得最佳系统范围的范围时，对称破坏的现象是特别感兴趣的。 对冲不确定性的技术依赖于游戏理论模型，以及从环境噪声和其他代理的随机选择中提取常见随机性的方法。