传感器网络中带有一致性策略的分布式H_∞滤波:考虑一致性跟踪误差(英文)

• 作 者: 万一鸣 董伟 叶昊
• 机 构: Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNLis
• 出 处: 自动化学报
• 发表日期: 2012年07期
• 关键词: consensus filtering infinity centralized steps communicating 跟踪误差 传感器网络 consider

The existing distributed H∞ filtering with consensus strategies consists of two steps: the consensus step through locally communicating with neighboring sensor nodes and the local filtering step. In this paper, the influence of consensus tracking error on the local estimation error is analyzed, and a distributed H∞ filtering algorithm considering the consensus tracking error is proposed. When the number of consensus iterations per sampling period is limited, the proposed method can suppress the effect of consensus tracking error on local estimation error; when the number of consensus iterations per sampling period goes to infinity, i.e., the consensus tracking error converges to zero, the local filtering in the distributed algorithm reduces to the centralized H∞ filtering. Simulation shows the effectiveness of the proposed method.

The existing distributed H∞ filtering with consensus strategies consists of two steps: the consensus step through local communicating with neighboring sensor nodes and the local filtering step. In this paper, the influence of consensus tracking error on the local estimation error is analyzed, and a When the number of consensus iterations per sampling period is limited, the proposed method can suppress the effect of consensus tracking error on local estimation error; when the number of consensus iterations per sampling period goes to infinity, ie, the consensus tracking error converges to zero, the local filtering in the distributed algorithm reduces to the centralized H∞ filtering. Simulation shows the effectiveness of the proposed method.