œ-Boids Consensus Algorithm using Adaptive Flocking Model

Abstract

Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.