Yongzhen Guo, Li Li, Yuanqing Xia, Yanxin Wen, Jingjing Guo
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引用次数: 0
Abstract
This article studies a distributed consensus-based estimation problem for discrete time-varying non-linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nodes is unreliable and subjected to DoS attacks. To achieve accurate state estimation against missing measurements, a local estimator with compensation mechanism is designed for each sensor node. A stochastic event-triggered mechanism is used to lessen additional information transfer. Based on this, a distributed consensus-based estimator is constructed by continually fusing local neighbours information matrixs and vectors. Moreover, the analysis of the designed estimator boundedness is presented. Finally, the effectiveness of the proposed algorithm is verified by three numerical examples.
本文研究了一个基于分布式共识的估计问题,该问题适用于具有缺失测量和拒绝服务(DoS)攻击的离散时变非线性系统。每个传感器丢失测量值的概率是独立的。传感器节点之间的通信链路不可靠,并且会受到 DoS 攻击。为了在缺失测量的情况下实现精确的状态估计,为每个传感器节点设计了一个具有补偿机制的本地估计器。采用随机事件触发机制来减少额外的信息传输。在此基础上,通过不断融合本地邻域信息矩阵和向量,构建了基于共识的分布式估计器。此外,还对所设计的估计器的约束性进行了分析。最后,通过三个数值实例验证了所提算法的有效性。