AI Article Synopsis
- A Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is introduced for achieving consensus among nonlinear agents on a signed graph.
- The protocol leverages nonlinear dynamic inversion theory, presenting a novel approach to the bipartite consensus problem while incorporating communication noise for realism.
- The study includes a thorough convergence analysis and realistic simulations that demonstrate the effectiveness of the proposed protocol.
Article Abstract
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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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952380 | PMC |
| http://dx.doi.org/10.3390/s22062357 | DOI Listing |
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