Distributed differentiation with noisy measurements for exact dynamic consensus

被引：0
作者：
Aldana-Lopez, Rodrigo [1 ,2 ]
Aragues, Rosario [1 ,2 ]
Sagues, Carlos [1 ,2 ]
机构：
[1] Univ Zaragoza, DIIS, Zaragoza 50018, Spain
[2] Univ Zaragoza, I3A, Zaragoza 50018, Spain
来源：
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
关键词：
Consensus; Multi- agent systems; Sensor networks; AVERAGE; SIGNALS;
D O I：
10.1016/j.ifacol.2023.10.1101
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work is devoted to a dynamic consensus problem referred here as distributed differentiation, which consists on estimating high order derivatives of the average of a group of signals in a decentralized fashion. To do so, a distributed differentiation protocol is proposed which solves the problem with exact convergence in the noiseless case. Moreover, the protocol allows to compute weighted averages according to quality or noise levels of individual signals. Different from previous approaches, our proposal no longer requires additional local differentiators. In addition, we provide a detailed formal analysis of the performance of the protocol under noisy measurements. Simulation examples are provided to show the effectiveness of our proposal. Copyright (c) 2023 The Authors.
引用
收藏
页码：2038 / +
页数：7
相关论文
共 50 条
[31]   Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance [J].
Khan, Usman A. ;
Aeron, Shuchin .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2016, 3 (03) :220-230
[32]   Nonlinear protocols for distributed consensus in directed networks of dynamic agents [J].
Li, Yumei ;
Voos, Holger ;
Darouach, Mohamed ;
Hua, Changchun .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (09) :3645-3669
[33]   Distributed Consensus with Private Communications [J].
Rong, Lina .
2021 4TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS, 2021, :835-839
[34]   Distributed Function Calculation over Noisy Networks [J].
Zeng, Zhidun ;
Yang, Xin ;
Zhang, Ze ;
Mo, Xiaoyu ;
Long, Zhiqiang .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
[35]   Consensus of Linear Multi-Agent Systems by Distributed Dynamic Event-Triggered Control [J].
Hu, Wenfeng ;
Yang, Chunhua .
2017 14TH INTERNATIONAL WORKSHOP ON COMPLEX SYSTEMS AND NETWORKS (IWCSN), 2017, :284-289
[36]   On Consensus-Based Distributed Blind Calibration of Sensor Networks [J].
Stankovic, Milos S. ;
Stankovic, Srdjan S. ;
Johansson, Karl Henrik ;
Beko, Marko ;
Camarinha-Matos, Luis M. .
SENSORS, 2018, 18 (11)
[37]   Distributed Dynamic Averaging Tracking Without Rate Measurements [J].
Chen, Yulin ;
Qi, Donglian ;
Li, Chaoyong .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (07) :4359-4364
[38]   Distributed optimal nonlinear dynamic inversion for multi-agents consensus [J].
Mondal, Sabyasachi ;
Tsourdos, Antonios .
EUROPEAN JOURNAL OF CONTROL, 2025, 84
[39]   Quantized Consensus in Noisy Sensor Networks [J].
Song Haiyu ;
Yu Li ;
Zhang Wen-An .
2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, :4994-4998
[40]   Synchronization on the N-Torus with Noisy Measurements [J].
Mahmoudian, Nina ;
Paley, Derek A. .
2011 AMERICAN CONTROL CONFERENCE, 2011, :4014-4019
12345