Simulation of Second-Order Multi-Agent System Consensus

This is a simple and practical simulation framework for second-order multi-agent system consensus. It is particularly suitable for beginners and university students, allowing modifications and experimental applications. The framework implements fundamental consensus algorithms where agents coordinate their velocity and position states through local neighbor interactions, typically using Laplacian matrix-based protocols. Users can better understand the concepts and principles of second-order multi-agent consensus through this simulation, which may include functions for parameter adjustment, topology switching, and consensus convergence analysis. The framework supports customization and extension to accommodate various research and experimental scenarios, enabling users to explore and validate different characteristics and behaviors of second-order consensus systems. Both beginners and students can enhance their understanding and application capabilities of multi-agent system consensus through hands-on experimentation with this simulation framework.