期刊
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
卷 23, 期 6, 页码 2326-2335出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2015.2403475
关键词
Cooperative planning; distributed planning; mutual information; potential game; sensor networks
资金
- Air Force Office of Scientific Research, Arlington, VA, USA [FA9550-12-1-0313]
- Korea Advanced Institute of Science and Technology, Daejeon, Korea, through the KI for Design of Complex Systems
- Agency for Defense Development [UE123026JD]
This paper presents a potential-game approach for distributed cooperative selection of informative sensors, when the goal is to maximize the mutual information between the measurement variables and the quantities of interest. It is proved that a local utility function defined by the conditional mutual information of an agent conditioned on the other agents' sensing decisions leads to a potential game, with the global potential being the original mutual information of the cooperative planning problem. The joint strategy fictitious play method is then applied to obtain a distributed solution that provably converges to a pure strategy Nash equilibrium. Two illustrative numerical examples are presented to demonstrate good convergence and performance properties of the proposed game-theoretic method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据