Pinned Repositories
attack_detection_DCmG_simulations
Simulation files for the TAC 2020 paper "A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids"
consensus_DCmG_simulations
Simulation files for the TCST 2021 paper "Consensus-based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads"
DD_UIO_simulations
Simulation files for the L-CSS 2022 paper "Data-driven Unknown-input Observers and State Estimation"
DeepDisCoPH
Deep Distributed Control of Port-Hamiltonian Systems
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
HamiltonianNet
PyTorch implementation of Hamiltonian deep neural networks.
Hierarchical-control-in-islanded-DC-microgrids-with-flexible-structures
HomotheticMPCmultistep
Accompanying code for the paper "Homothetic tube model predictive control with multi-step predictors".
NodeREN
Neural Ordinary Differential Equation - Recurrent Equilibrium Networks (NODE-RENs)
On-Existence-of-Equilibria-Voltage-Balancing-and-Current-Sharing-in-Consensus-Based-DC-Microgrids
Dependable Control and Decision group - EPFL's Repositories
DecodEPFL/HamiltonianNet
PyTorch implementation of Hamiltonian deep neural networks.
DecodEPFL/Hierarchical-control-in-islanded-DC-microgrids-with-flexible-structures
DecodEPFL/consensus_DCmG_simulations
Simulation files for the TCST 2021 paper "Consensus-based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads"
DecodEPFL/On-Existence-of-Equilibria-Voltage-Balancing-and-Current-Sharing-in-Consensus-Based-DC-Microgrids
DecodEPFL/HomotheticMPCmultistep
Accompanying code for the paper "Homothetic tube model predictive control with multi-step predictors".
DecodEPFL/DeepDisCoPH
Deep Distributed Control of Port-Hamiltonian Systems
DecodEPFL/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
DecodEPFL/consensusability_simulations
Simulation files for the TCNS 2021 paper "On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization"
DecodEPFL/NodeREN
Neural Ordinary Differential Equation - Recurrent Equilibrium Networks (NODE-RENs)
DecodEPFL/ML4Microgrid-Matlab
Matlab code for the paper Identification of AC Networks via Online Learning. arXiv:2003.06210
DecodEPFL/Passivity-based-Voltage-and-Frequency-Stabilization-in-AC-microgrids
DecodEPFL/Contractive-Hamiltonian-Neural-ODEs
PyTorch implementation of Contractive Hamiltonian Neural ODEs
DecodEPFL/DistributedREN
DecodEPFL/eiv-grid-id
DecodEPFL/Neural-Distributed-Controllers
DecodEPFL/outputSLS
DecodEPFL/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
DecodEPFL/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
DecodEPFL/neural_energy_casimir_control
DecodEPFL/Contractive-Neural-ODEs
DecodEPFL/CVBNlearn
Inference tool for continuous variables Bayesian Networks
DecodEPFL/Distributed_neurSLS
Accompanying code for the paper "Optimal Distributed Control by Training Stable Neural Closed-Loop Maps".
DecodEPFL/DRInC
Distributionally Robust Infinite-horizon Controller synthesis
DecodEPFL/Neural-Exponential-Stabilization
DecodEPFL/neurSLS
DecodEPFL/PAC-SNOC
PyTorch implementation of our PAC-Bayesian framework for optimal control with stability guarantees.
DecodEPFL/perf-boost-base
DecodEPFL/performance-boosting_controllers
DecodEPFL/RHSafeMinRegret
DecodEPFL/SpRegret
Spatial Regret