Partial-Nodes-Based State Estimation for Nonlinear Coupled Complex Networks: An Exponential Event-Triggered Approach

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原文链接

NETL

外文摘要：In this paper， the partial-nodes-based (PNB) state estimation issue is addressed for a class of complex networks subject to nonlinear coupling among different nodes。 The exponential event-triggered approach with variable triggered threshold is used to further mitigate the transmission burden and save network resource。 The designed PNB estimator can estimate the internal states of all nodes by resorting to partial nodes with available measurements。 Encouraged by non-augmented method， the gain matrix of each node can ensure that the upper bound of the estimation error covariance is minimized in mean-square sense。 Finally， a numerical example shows the effectiveness of the proposed distributed estimation algorithm。

外文关键词：

CouplingsEstimation errorUpper boundAtmospheric measurementsComplex networksSystems engineering and theoryParticle measurements

作者：

Na Lin、Dongyan Chen、Jun Hu、Hui Yu

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作者单位：

Department of Mathematics, Harbin University of Science and Technology, Harbin, China

School of Automation Harbin University of Science and Technology, Harbin, China

会议名称：

IEEE International Conference on Control Science and Systems Engineering

会议地点：

Guangzhou(CN)

会议母体文献：

2022 8th International Conference on Control Science and Systems Engineering

页码：

63-67

出版时间：

2022

DOI：

10.1109/ICCSSE55346.2022.10079883