The Kalman Filtering for a class of Local Strongly Coupled Systems

摘要：

This paper addresses a Kalman filtering problem for a class of local strongly coupled systems which are derived from complex systems with inter communication or constraint between nodes. To start with, a multi-agent system is introduced and the communication matrix is characterized by employing random series with Bernoulli distributions. Using augmentation techniques and stochastic methods, the Kalman filtering algorithm is deducted. The experimental results not only demonstrate the effectiveness of the proposed filtering method, but also show the inter-agent communication could improve the tracing effect in the multi-agent collaborative systems.

关键词： Local strongly coupled systems Kalman filter Communication

作者: Yunze Cai Hua O. Wang Xiaoming Xu

作者单位: Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Inform Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, P.R.Chi

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1962-1966

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）