A simplified library for decentralized, privacy preserving machine learning
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Updated
Nov 6, 2024 - Python
A simplified library for decentralized, privacy preserving machine learning
MIT ACL distributed formation flying using multirotors
Codes for the paper "Distributed Cooperative Control of Redundant Mobile Manipulators With Safety Constraints". IEEE Transactions on Cybernetics 2021 | Journal article. DOI: 10.1109/tcyb.2021.3104044
Simulate swarms of mobile agents in 2D and 3D.
Simulación de algoritmo de control distribuido para flotas de vehículos con restricciones energéticas. Réplica del método distribuido GRID target Assignment y su extensión a asignación de tareas no monotónicas: Smith, Stephen Leslie. Task allocation and vehicle routing in dynamic environments. University of California, Santa Barbara, 2009.
EE6223 Computer Control Networks
Based on SMC(sliding mode control), DR-TVFC decouples consense task and formaiton task to achieve distributed formation tracking control for MASs.
A (very subjective) curated list of Safe Multi-agent Reinforcement Learning resources
PyDeco - Experiments in Decentralized and Distributed Control Algorithms
Energy-aware multi-robot coverage
Design blueprints of aktos message passing library for distributed controller systems
Code useful to analyze the nBEPA1 revision protocol. This protocol is a noisy version of the Best Experienced Payoff protocol, where agents test all their strategies and they try each of them only once
NetLogo model designed to analyze the nBEPA1 (noisy Best Experienced Payoff, test All, 1 trial) protocol in Single Optimum Coordination Games, played in networks
NetLogo model designed to analyze the nBEPA1 (noisy Best Experienced Payoff, test All, 1 trial) protocol in Single Optimum Coordination Games
Three tanks system Decentralized,Distributed and Centralized control in MATLAB with yalmip, using LMI for controller design.
This code replicates the numerical simulations reported in the research paper entitled "Optimal time-invariant distributed formation tracking for second-order multi-agent systems"
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