灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

Simulation for planar area coverage by a swarm of UAVs

Robotics Toolbox Extension：matlab scripts for cooperative control and manipulation based on Peter Corke's robotics toolbox. Also fix some bugs of RTB 10.3.1.

Python and MATLAB implementations of Flocking Algorithms and Formation Control

[IFAC 2023] "H2 suboptimal leader-follower consensus control of multi-agent systems" by Yuan Gao, Junjie Jiao, Sandra Hirche

Simulate swarms of mobile agents in 2D and 3D.

Communication-aware Formation Control for Dynamical Multi-agent System

A library for simulation of multi-agent systems under non-ideal communication

Collection of simulations unde FENCING https://doi.org/10.1016/j.automatica.2019.05.034

Code for the paper "Distributed H2 Controller Synthesis for Multi-Agent Systems with Stochastic Packet Loss" by C. Hespe, A. Datar, D. Schneider, H. Saadabadi, H. Werner and H. Frey

Code for the paper "Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss" by C. Hespe and H. Werner

[ACC 2023] "H2 suboptimal containment control of multi-agent systems" by Yuan Gao, Junjie Jiao, Sandra Hirche

Code for the paper "A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" by C. Hespe, H. Saadabadi, A. Datar, H. Werner and Y. Tang

Code for the paper "A Scalable Approach for Analysing Multi-Agent Systems with Heterogeneous Stochastic Packet Loss" by C. Hespe and H. Werner

Matlab Code for Shepherding

Simulation of Firefighting Search and Rescue Operations using MATLAB

A 2-year engineering design project (APSC 200) using MATLAB to simulate the Group Formation of a Multi-Agent System (MAS).

Material from the course of Collaborative control in multi-agent system at ENSEM - Université de Lorraine.