Distributed Estimation and Control for Large Population Stochastic Multi-Agent Systems with Coupling in the Measurements

被引：0
|
作者：
Fallah, Mehdi Abedinpour [1 ]
Malhame, Roland P. [1 ]
Martinelli, Francesco [2 ]
机构：
[1] Ecole Polytech, GERAD, Montreal, PQ H3C 3A7, Canada
[2] Univ Roma Tor Vergata, Dipartimento Ingn Civile & Ingn Informat, I-00133 Rome, Italy
来源：
2013 EUROPEAN CONTROL CONFERENCE (ECC) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate a class of large population stochastic multi-agent systems where the agents have linear stochastic dynamics and are coupled via their measurement equations. Using the state aggregation technique, we propose a distributed estimation and control algorithm that combines the Kalman filtering for state estimation and the linear-quadratic-Gaussian (LQG) feedback controller. Moreover, the stability analysis in terms of exponential boundedness in the mean square is given for the proposed algorithm.
引用
收藏
页码：4353 / 4358
页数：6
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