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Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise
In this paper, a Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is designed to achieve the bipartite consensus of nonlinear agents over a signed graph. DNDI inherits the advantage of nonlinear dynamic inversion theory, and the application to the bipartite problem is a new id...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952380/ https://www.ncbi.nlm.nih.gov/pubmed/35336528 http://dx.doi.org/10.3390/s22062357 |
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author | Mondal, Sabyasachi Tsourdos, Antonios |
author_facet | Mondal, Sabyasachi Tsourdos, Antonios |
author_sort | Mondal, Sabyasachi |
collection | PubMed |
description | In this paper, a Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is designed to achieve the bipartite consensus of nonlinear agents over a signed graph. DNDI inherits the advantage of nonlinear dynamic inversion theory, and the application to the bipartite problem is a new idea. Moreover, communication noise is considered to make the scenario more realistic. The convergence study provides a solid theoretical base, and a realistic simulation study shows the effectiveness of the proposed protocol. |
format | Online Article Text |
id | pubmed-8952380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89523802022-03-26 Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise Mondal, Sabyasachi Tsourdos, Antonios Sensors (Basel) Article In this paper, a Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is designed to achieve the bipartite consensus of nonlinear agents over a signed graph. DNDI inherits the advantage of nonlinear dynamic inversion theory, and the application to the bipartite problem is a new idea. Moreover, communication noise is considered to make the scenario more realistic. The convergence study provides a solid theoretical base, and a realistic simulation study shows the effectiveness of the proposed protocol. MDPI 2022-03-18 /pmc/articles/PMC8952380/ /pubmed/35336528 http://dx.doi.org/10.3390/s22062357 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mondal, Sabyasachi Tsourdos, Antonios Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title | Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title_full | Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title_fullStr | Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title_full_unstemmed | Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title_short | Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise |
title_sort | bipartite consensus of nonlinear agents in the presence of communication noise |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952380/ https://www.ncbi.nlm.nih.gov/pubmed/35336528 http://dx.doi.org/10.3390/s22062357 |
work_keys_str_mv | AT mondalsabyasachi bipartiteconsensusofnonlinearagentsinthepresenceofcommunicationnoise AT tsourdosantonios bipartiteconsensusofnonlinearagentsinthepresenceofcommunicationnoise |