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...
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2022-03-01
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| Schriftenreihe: | Sensors |
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| Online Zugang: | https://www.mdpi.com/1424-8220/22/6/2357 |
| Zusammenfassung: | 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. |
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| ISSN: | 1424-8220 |