Mondal, SabyasachiTsourdos, Antonios2022-03-252022-03-252022-03-18Sabyasachi M, Tsourdos A. (2022) Bipartite consensus of nonlinear agents in the presence of communication noise, Sensors, Volume 22, Issue 6, March 2022, Article number 23571424-8220https://doi.org/10.3390/s22062357https://dspace.lib.cranfield.ac.uk/handle/1826/17689In 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.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/bipartite consensusDistributed Nonlinear Dynamic Inversioncommunication noisesigned graphBipartite consensus of nonlinear agents in the presence of communication noiseArticle