학술논문
œ-Boids Consensus Algorithm using Adaptive Flocking Model
Document Type
Conference
Source
2021 4th International Conference on Computing & Information Sciences (ICCIS) Computing & Information Sciences (ICCIS), 2021 4th International Conference on. :1-6 Nov, 2021
Subject
Language
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.