Energy-Efficient Distributed Filtering in Sensor Networks: A Unified Switched System Approach
针对传感器网络，提出一种统一切换系统模型，整合非均匀采样、测量缩减、传输率降低、量化和数据丢失，实现节能分布式滤波，并保证滤波误差系统均方指数稳定和H∞性能。
This paper is concerned with the energy-efficient distributed filtering in sensor networks, and a unified switched system approach is proposed to achieve this goal. For the system under study, the measurement is first sampled under nonuniform sampling periods, then the local measurement elements are selected and quantized for transmission. Then, the transmission rate is further reduced to save constrained power in sensors. Based on the switched system approach, a unified model is presented to capture the nonuniform sampling, the measurement size reduction, the transmission rate reduction, the signal quantization, and the measurement missing phenomena. Sufficient conditions are obtained such that the filtering error system is exponentially stable in the mean-square sense with a prescribed H∞ performance level. Both simulation and experiment studies are given to show the effectiveness of the proposed new design technique.