地铁列车时刻表
计算机科学
卡尔曼滤波器
Lyapunov稳定性
控制理论(社会学)
转化(遗传学)
滤波器(信号处理)
无线传感器网络
对偶(语法数字)
能源消耗
分布式计算
事件(粒子物理)
拓扑(电路)
实时计算
数学
工程类
计算机网络
人工智能
艺术
生物化学
化学
物理
控制(管理)
文学类
量子力学
组合数学
电气工程
计算机视觉
基因
操作系统
作者
Chunxi Yang,Gengen Li,Guanbin Gao,Qinghua Shi
出处
期刊:Sensors
[MDPI AG]
日期:2023-03-20
卷期号:23 (6): 3261-3261
摘要
In the distributed information fusion of wireless sensor networks (WSNs), the filtering accuracy is commonly negatively correlated with energy consumption. Therefore, a class of distributed consensus Kalman filters was designed to balance the contradiction between them in this paper. Firstly, an event-triggered schedule was designed based on historical data within a timeliness window. Furthermore, considering the relationship between energy consumption and communication distance, a topological transformation schedule with energy-saving is proposed. The energy-saving distributed consensus Kalman filter with a dual event-driven (or event-triggered) strategy is proposed by combining the above two schedules. The sufficient condition of stability for the filter is given by the second Lyapunov stability theory. Finally, the effectiveness of the proposed filter was verified by a simulation.
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