Abstract
Many complex systems, ranging from renewable resources [1] to very-large-scale robotic systems (VLRS) [2], can be described as multiscale dynamical systems comprising many interactive agents. In recent years, signi cant progress has been made in the formation control and stability analysis of teams of agents, such as robots, or autonomous vehicles. In these systems, the mutual goals of the agents are, for example, to maintain a desired con guration, such as a triangle or a star formation, or to perform a desired behavior, such as translating as a group (schooling) or maintaining the center of mass of the group (flocking) [2]-[7]. While this literature has successfully illustrated that the behavior of large networks of interacting agents can be conveniently described and controlled by density functions, it has yet to provide an approach for optimizing the agent density functions such that their mutual goals are optimized.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
