DecodEPFL

HamiltonianNet

PyTorch implementation of Hamiltonian deep neural networks.

Hierarchical-control-in-islanded-DC-microgrids-with-flexible-structures

consensus_DCmG_simulations

Simulation files for the TCST 2021 paper "Consensus-based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads"

attack_detection_DCmG_simulations

Simulation files for the TAC 2020 paper "A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids"

On-Existence-of-Equilibria-Voltage-Balancing-and-Current-Sharing-in-Consensus-Based-DC-Microgrids

HomotheticMPCmultistep

Accompanying code for the paper "Homothetic tube model predictive control with multi-step predictors".

FollowTheClairvoyant

Code to reproduce the result of the paper "Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control", by Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros and Giancarlo Ferrari-Trecate

consensusability_simulations

Simulation files for the TCNS 2021 paper "On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization"

DeepDisCoPH

Deep Distributed Control of Port-Hamiltonian Systems

NodeREN

Neural Ordinary Differential Equation - Recurrent Equilibrium Networks (NODE-RENs)

ML4Microgrid-Matlab

Matlab code for the paper Identification of AC Networks via Online Learning. arXiv:2003.06210

Passivity-based-Voltage-and-Frequency-Stabilization-in-AC-microgrids

Contractive-Hamiltonian-Neural-ODEs

PyTorch implementation of Contractive Hamiltonian Neural ODEs

DistributedREN

eiv-grid-id

SafeMinRegret

Code to reproduce the result of the paper "Safe Control with Minimal Regret", by Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros and Giancarlo Ferrari-Trecate

ScenarioSafeMinRegret

Code to reproduce the result of the paper "Regret Optimal Control for Uncertain Stochastic Systems", by Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros and Giancarlo Ferrari-Trecate

neural_energy_casimir_control

Contractive-Neural-ODEs

CVBNlearn

Inference tool for continuous variables Bayesian Networks

Distributed_neurSLS

Accompanying code for the paper "Optimal Distributed Control by Training Stable Neural Closed-Loop Maps".

DRInC

Distributionally Robust Infinite-horizon Controller synthesis

Neural-Distributed-Controllers

Neural-Exponential-Stabilization

neurSLS

outputSLS

PAC-SNOC

PyTorch implementation of our PAC-Bayesian framework for optimal control with stability guarantees.

performance-boosting_controllers

RHSafeMinRegret

SpRegret

Spatial Regret