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采用一致性策略,对传感器网络的分布式H∞采样滤波进行研究.首先,每个传感器节点信息通过采样器进行采样,采样信息可以在各个传感器间进行交换,从而建立一个基本的传感器网络的采样滤波框架.在该框架下,传感器网络中的滤波问题可以等价转化为一个带有时变延时的误差系统的稳定性问题.然后,针对这一系统,获得能够使该误差系统达到稳定并且满足期望的H∞性能指标的充分条件.基于所得到的条件,给出传感器网络的分布式滤波器的设计方法.数值仿真验证了所提方法的有效性.
In this paper, a distributed H∞ sampling filter for sensor networks is studied by adopting a consistent strategy.Firstly, the information of each sensor node is sampled by a sampler, and the sample information can be exchanged between the sensors so as to establish a basic sample of the sensor network In this framework, the problem of filtering in sensor networks can be equivalently transformed into the stability problem of an error system with time-varying delays.Then, aiming at this system, we obtain a new algorithm that can make the error system stable and satisfy The sufficient condition of expected H∞ performance index is given.Based on the obtained conditions, the design method of distributed filter for sensor network is given.The numerical simulation verifies the effectiveness of the proposed method.