@Article{FreitasYancZaksMaca:2021:SySyCi,
               author = "Freitas, Vander L. S. and Yanchuk, Serhiy and Zaks, Michael and 
                         Macau, Elbert Einstein Nehrer",
          affiliation = "{Universidade Federal de Ouro Preto (UFOP)} and {Technical 
                         University of Berlin} and {Humboldt University of Berlin} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Synchronization-based symmetric circular formations of mobile 
                         agents and the generation of chaotic trajectories",
              journal = "Communications in Nonlinear Science and Numerical Simulation",
                 year = "2021",
               volume = "94",
                pages = "e105543",
                month = "Mar.",
             keywords = "Autonomous mobile agents, Synchronization, Chaotic trajectories, 
                         Symmetric circular formations.",
             abstract = "The self-organization of multiple autonomous mobile agents is a 
                         trending topic nowadays with applications in robotics, aerospace 
                         engineering, and satellite formations. We investigate a model of 
                         particles with coupled-oscillators dynamics focusing on the 
                         particular case of agents grouping in symmetric clusters while 
                         moving in concentric circular trajectories. Our results reveal 
                         that certain regions of the parameter space are more suitable for 
                         the onset of such clusters. Additionally, we study the effects of 
                         adding and removing agents from already formed clusters, prescribe 
                         a strategy to properly switch from one formation to another, and 
                         finally introduce an approach to obtain chaotic almost-circular 
                         trajectories and symmetric clusters with non-overlapping 
                         particles.",
                  doi = "10.1016/j.cnsns.2020.105543",
                  url = "http://dx.doi.org/10.1016/j.cnsns.2020.105543",
                 issn = "1007-5704",
             language = "en",
           targetfile = "freitas_synchronization.pdf",
        urlaccessdate = "28 abr. 2024"
}