Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics-Reference-Cited by-同舟云学术

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Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics

Published:2024-01-29 Issue:1 Volume:62 Page:376-399
ISSN:0363-0129
Container-title:SIAM Journal on Control and Optimization
language:en
Short-container-title:SIAM J. Control Optim.

Author:

Vukovic Manojlo¹^ORCID,Jakovetic Dusan²,Bajovic Dragana³,Kar Soummya⁴

Affiliation:

1. Department of Fundamental Sciences, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia.

2. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia.

3. Department of Power, Electronic, and Communication Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia.

4. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 USA.

Funder

Ministry of Education, Science and Technological Development

European Union’s Horizon 2020 Research and Innovation

Provincial Secretariat for Higher Education and Scientific Research

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference35 articles.

1. Robust Distributed Estimation by Networked Agents

2. Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations

3. Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis

4. Resilient Distributed Field Estimation

5. Adaptive Robust Distributed Learning in Diffusion Sensor Networks

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