无线传感网络分布式故障检测H∞滤波器设计OA
Distributed Fault Detection H∞ Filtering Design over Wireless Sensor Networks
本文研究资源受限、通讯时延和外部干扰等影响下的无线传感器网络的分布式事件触发故障检测H∞滤波器设计问题.首先,为了解决资源受限问题,设计新型分布式自适应事件触发机制决定当前数据是否进行网络传输,能更有效地降低数据的传输量.其次,基于触发误差、通讯时延与传感故障,将滤波误差系统转化为具有多变时延闭环系统,并利用新型混合时延依赖技术构造李雅普诺夫函数并估计其导数更紧上界,不仅给出判定误差系统渐近稳定和满足H∞性能指标的充分性条件,还给出冗余评估函数以判断传感故障是否发生.再次,借助矩阵变换技术,基于线性矩阵不等式(Linear matrix inequalities,LMI)建立了分布式H∞滤波器和事件触发机制的联合设计方案,该方法不仅易于验证,而且具有较大适用范围.最后,计算和仿真结果均说明本文所提方法的有效性和弱保守性.
This work investigates the issue on distributed event-triggered fault detection H∞ filtering design under resource constraints,communication delays and external disturbances.First,to address the constraint of network resource,a distributed adaptive event-triggered scheme is proposed to determine whether current data should be transmitted,which effectively helps reduce data transmissions.Second,based on triggering errors,communication delays and sensor faults,the filtering error system is reformulated as a closed-loop system with multiple time-varying delays.Third,by utilizing mixed-delay-dependent techniques,an augmented Lyapunov functional is constructed and its derivative is estimated tightly.Thus,a sufficient condition is established not only to ensure the asymptotic stability and H∞ performance index of filtering error system,but also enable to detect the occurrence of sensor faults.Fourth,by resorting to matrix transformation,a co-design of the distributed H∞ filter and the event-triggered scheme are proposed in terms of linear matrix inequalities(LMI),which are easy to test and have a wide range of applications.Finally,simulating results and comparisons are presented to demonstrate the effectiveness and reduced conservatism of the proposed methods.
段思瑶;郭永康;李涛;冒泽慧
南京航空航天大学自动化学院,南京 211106南京航空航天大学自动化学院,南京 211106南京航空航天大学自动化学院,南京 211106南京航空航天大学自动化学院,南京 211106
信息技术与安全科学
无线传感网络分布式H∞滤波器设计传感故障自适应事件触发通讯时延
wireless sensor networksdistributed H∞ filtering designsensor faultadaptive event-triggercommunication delay
《南京航空航天大学学报(自然科学版)》 2026 (4)
856-868,13
国家自然科学基金(62333011)基本科研业务费基金项目(NL2026001).
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