Publications scientifiques

Publications

Bases méthodologiques

Published
Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control
2023 European Control Conference (ECC)
Pages 1-6
Tudor Andrei Oancea, Yuning Jiang, Colin Jones
Doi.org Collection
Published
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
ArXiv
Aren Karapetyan, Efe Balta, Andrea Iannelli, John Lygeros
Collection
Published
Topological Obstructions to Stability and Stabilization: History, Recent Advances and Open Problems
Springer Briefs in Electrical and Computer Engineering
No 1 Pages 132
Wouter Jongeneel, Emmanuel Moulay
Doi.org Collection
Published
Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype
2022 International Conference on Robotics and Automation (ICRA)
Pages 1996-2002
Raphael Linsen, Petr Listov, Alberic Lajarte, Roland Schwan, Colin Jones
Doi.org Collection
Published
Implications of Regret on Stability of Linear Dynamical Systems
IFAC World Congress 2023
Aren Karapetyan, Anastasios Tsiamis, Efe Balta, Andrea Iannelli, John Lygeros
Doi.org Collection
Published
Stokes, Gibbs and volume computation of semi-algebraic sets
Discrete and Computational Geometry
Vol 69 Pages 260-283
Matteo Tacchi, Jean Lasserre, Didier Henrion
Doi.org Collection Arxiv.org

Control in a data rich world

Published
Learning Long-Term Crop Management Strategies with CyclesGym
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim Buhmann, Andreas Krause
Collection
Published
Near-Optimal Multi-Agent Learning for Safe Coverage Control
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Manish Prajapat, Matteo Turchetta, Melanie Zeilinger, Andreas Krause
Collection
Published
Regularization for distributionally robust state estimation and prediction
IEEE Control System Letters
Vol 7 Pages 2713 - 2718
Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari Trecate
Collection
Published
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
arXiv
Pages 30224-30251
Andreas Schlaginhaufen, Maryam Kamgarpour
Arxiv.org
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
62nd IEEE Conference on Decision and Control
Lucas Böttcher, Thomas Asikis, Ioannis Fragkos
Doi.org Collection
Published
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations
62nd IEEE Conference on Decision and Control
Daniele Martinelli, Clara Galimberti, Ian Manchester, Luca Furieri, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design
IEEE Transactions on Automatic Control
Vol 68 No 5 Pages 3155-3162
Clara Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari Trecate
Collection
Published
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
CDC 2022
Sophie Hall, Lukas Ortmann, Miguel Picallo, Florian Dörfler
Doi.org Collection
Published
Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow
Transportation Research Part C: Emerging Technologies
Vol 155
Jiawei Wang, Yingzhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin Jones
Doi.org Collection
Published
Near-optimal control of dynamical systems with neural ordinary differential equations
Machine Learning: Science and Technology
Vol 3 No 4
Lucas Böttcher, Thomas Asikis
Collection
Automatic termination for hyperparameter optimization
arxiv
Anastasiia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Andreas Krause, Matthias Seeger, Cedric Archambeau
Doi.org Collection Arxiv.org
Published
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression
Journal of Process Control
Vol 121 No 119
Marta Zagorowska, M. Degner, Lukas Ortmann, A. Ahmed, Saverio Bolognani, E. A. del Rio Chanona, M. Mercangoz
Doi.org Collection
Published
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach
Proceedings of The 4th Annual Learning for Dynamics and Control Conference
Vol 168 Pages 571-583
Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data
IEEE Transactions on Automatic Control
Pages 1-16
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari Trecate
Doi.org Collection
to Appear
Neural System Level Synthesis: Learning Over All Stabilizing Policies for Nonlinear Systems
61st IEEE Conference on Decision and Control (CDC 2022)
Luca Furieri, Clara Galimberti, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Data-driven input reconstruction and experimental validation
arXiv
Jicheng Shi, Yingzhao Lian, Colin Jones
Doi.org Collection
Published
Deep Reinforcement Learning for Room Temperature Control: A Black-box Pipeline from Data to Policies
CISBAT 2021 special issue of IOP's JOURNAL OF PHYSICS Conference Series
Vol 2042
Loris DiNatale, Bratislav Svetozarevic, Philipp Heer, Colin Jones
Doi.org Collection
Published
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Conference on Neural Information Processing Systems (NeurIPS 2021)
Vol 34 Pages 29754-29767
Tobias Sutter, Andreas Krause, Daniel Kuhn
Doi.org Collection
Published
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Conference on Neural Information Processing Systems (NeurIPS 2021)
Pages 29780 - 29793
Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
Doi.org Collection
Published
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Advances in Neural Information Processing Systems
Vol 34 Pages 777--788
Scott Sussex, Andreas Krause, Caroline Uhler
Doi.org Collection
Published
Efficient Learning of a Linear Dynamical System with Stability Guarantees
IEEE Transactions on Automatic Control
Vol 68 No 5 Pages 2790-2804
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Doi.org Collection
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design
IEEE Transactions on Automatic Control
Clara Lucía Galimberti, Liang Xu, Giancarlo Ferrari Trecate
Doi.org
Distributionally Robust Optimization with Markovian Data
38th International Conference on Machine Learning (ICML 2021)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Collection
A Unified Framework for Hamiltonian Deep Neural Networks
Proceedings of the 3rd Conference on Learning for Dynamics and Control
Vol 144 Pages 275 – 286
Clara Lucía Galimberti, Liang Xu, Giancarlo Ferrari Trecate
Collection
PopSkipJump: A Decision-based Adversarial Attack for Probabilistic Classifiers
38th International Conference on Machine Learning (ICML 2021)
Vol 139 Pages 9712 – 9721
Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause
Collection
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Conference on Neural Information Processing Systems (NeurIPS 2021)
Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
Collection
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees
60th IEEE Conference on Decision and Control (CDC21)
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari Trecate
Collection

Control in an uncertain world

Published
Online Linear Quadratic Tracking with Regret Guarantees
IEEE Control Systems Letters
Pages 6
Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe Balta, John Lygeros
Doi.org
to Appear
A Dual System-Level Parameterization for Identification from Closed-Loop Data
62nd IEEE Conference on Decision and Control
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy Smith
Doi.org
Published
A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability
2023 62nd IEEE Conference on Decision and Control (CDC)
Kristina Fedorova, Yuning Jiang, Juraj Oravec, Colin Jones, Michal Kvasnica
Collection
to Appear
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology
62nd IEEE Conference on Decision and Control
Danilo Saccani, Lorenzo Fagiano, Melanie Zeilinger, Andrea Carron
Collection
Published
Discrete Optimal Transport with Independent Marginals is #P-Hard
SIAM Journal on Optimization
Vol 33 No 2 Pages 589-614
Bahar Taskesen, Soroosh Shafiezadeh Abadeh, Daniel Kuhn, Karthik Natarajan
Doi.org
Published
Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control
ECC 2023
Tudor Andrei Oancea, Yuning Jiang, Colin Jones
Collection
Published
Universal Approximation Property of Hamiltonian Deep Neural Networks
IEEE Control System Letters
Vol 7 Pages 2689-2694
Muhammad Zakwan, Massimiliano d'Angelo, Giancarlo Ferrari Trecate
Collection
Published
Predictive safety filter using system level synthesis
Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR
Vol 211 Pages 1180-1192
Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie Zeilinger
Doi.org Collection Arxiv.org
Published
SOS Construction of Compatible Control Lyapunov and Barrier Functions
Proceedings of IFAC World congress
Michael Schneeberger, Florian Dörfler, Silvia Mastellone
Doi.org Collection
Published
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization With Time-Average Constraints
ArXiv
Wenje Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones
Doi.org Collection
Published
Peak Value-at-Risk Estimation for Stochastic Differential Equations Using Occupation Measures
62nd IEEE Conference on Decision and Control
Jared Miller, Matteo Tacchi, Mario Sznaier, Ashkan Jasour
Collection Arxiv.org
Published
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance
ArXiv
Nicolas Lanzetti, Efe Balta, Dominic Liao-McPherson, Florian Dörfler
Collection
Published
On the Regret of H∞ Control
2022 IEEE Conference on Decision and Control (CDC)
Pages 6181-6186
Aren Karapetyan, Andrea Iannelli, John Lygeros
Collection
Published
Robust online joint state/input/parameter estimation of linear systems
2022 IEEE 61st Conference on Decision and Control (CDC)
Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler, Giancarlo Ferrari Trecate
Doi.org Collection
Published
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization With Unmodeled Constraints
ArXiv
Wenje Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones
Doi.org Collection
Published
Model-based Causal Bayesian Optimization
ArXiv
Scott Sussex, Anastasiia Makarova, Andreas Krause
Collection Arxiv.org
Published
Constrained Efficient Global Optimization of Expensive Black-Box Functions
ArXiv
Wenje Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones
Doi.org Collection
Published
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Proceedings of, the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi
Doi.org Collection
Published
Robust adaptive MPC using control contraction metrics
Automatica
Vol 155 No 111169
Andras Sasfi, Melanie Zeilinger, Johannes Köhler
Doi.org Arxiv.org
Published
A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 2085-2091
Ezzat Elokda, Saverio Bolognani, Ashish Hota
Doi.org Collection
to Appear
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
arxiv
Wenjie Xu, Colin Jones, Bratislav Svetozarevic, Christopher Laughman, Ankush Chakrabarty
Doi.org Collection
Published
Robust Classification Using Contractive Hamiltonian Neural ODEs
IEEE Control Systems Letters
Vol 7 Pages 145-150
Muhammad Zakwan, Liang Xu, Giancarlo Ferrari Trecate
Doi.org Collection
Published
On Robustness in Optimization-Based Constrained Iterative Learning Control
IEEE Control Systems Letters
Vol 6 Pages 2846-2851
Dominic Liao-McPherson, Efe Balta, Alisa Rupenyan, John Lygeros
Doi.org Collection
Published
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
Artificial Intelligence
Vol 320 Pages 103922
Bhavaya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
Collection
Published
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization
EEE Transactions on Industrial Electronics
Mohammad Khosravi, Christopher Koenig, Markus Maier, Roy Smith, John Lygeros, Alisa Rupenyan
Doi.org Collection
Published
Safe Control with Minimal Regret
Proceedings of The 4th Annual Learning for Dynamics and Control Conference
Vol 168 Pages 726-738
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 2116-2121
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Doi.org Collection
Emergence of Zipf's law among social networks influencers
Extended Abstract IFAC Workshop on Networked Systems
Nicolò Pagan, Wenjun Mei, Florian Dörfler
Published
Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond
22nd IFAC World Congress
Vol 56 No 2 Pages 8464-8469
Yuchao Li, Aren Karapetyan, John Lygeros, Karl Johansson, Jonas Martensson
Doi.org Collection
Published
Robust Resource-Aware Self-Triggered Model Predictive Control
IEEE Control Systems Letters
Pages 1724-1729
Yingzhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin Jones
Doi.org Collection
Published
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Mathematical Programming
Vol 199 Pages 1033-1106
Bahar Taskesen, Soroosh Shafiezadeh Abadeh, Daniel Kuhn
Collection
Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria
IEEE Robotics and Automation Letters
Vol 6 No 3 Pages 4978 – 4985
Alessandro Zanardi, Enrico Mion, Mattia Bruschetta, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
Collection

Distributed hierarchical control & optimisation

Published
A Self-Contained Karma Economy for the Dynamic Allocation of Common Resources
Dynamic Games and Applications
Ezzat Elokda, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli
Collection
Published
On Finding the Leader's Strategy in Quadratic Aggregative Stackelberg Pricing Games
European Control Conference (ECC 23)
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Doi.org Collection
Published
Factorization of Dynamic Games over Spatio-Temporal Resources
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Pages 13159 - 13166
Alessandro Zanardi, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli
Doi.org
Published
Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems
2022 European Control Conference (ECC)
Pages 2087-2092
Liang Xu, Baiwei Guo, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Optimal policy design to mitigate epidemics on networks using an SIS model
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 4266-4271
Carlo Cenedese, Lorenzo Zino, Michele Cucuzzella, Ming Cao
Doi.org Collection
Published
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics
IEEE Robotics and Automation Letters
Vol 7 No 2 Pages 1292-1299
Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli
Doi.org Collection
Published
Neural Energy Casimir Control for Port-Hamiltonian Systems
arXiv
Liang Xu, Muhammad Zakwan, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Sensitivity Conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales
IEEE Transactions on Automatic Control
Vol 68 No 4 Pages 2309
Miguel Picallo, Saverio Bolognani, Florian Dörfler
Doi.org
Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking
60th IEEE Conference on Decision and Control (CDC21)
Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Badyn, Saverio Bolognani, John Lygeros, Florian Dörfler
Collection

Méthodes computationelles

Published
Minimal Regret State Estimation of Time-Varying Systems
Proceedings of IFAC World congress 2023
Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari Trecate
Collection
Published
Stable Linear Subspace Identification: A Machine Learning Approach
ArXiv
Loris DiNatale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari Trecate, Colin Jones
Doi.org Collection
Published
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems
ArXiv
Samuel Balula, Efe Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
Collection
Published
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
2023 American Control Conference (ACC)
Pages 3735-3750
Truong Nghiem, Ján Drgoňa, Colin Jones, Zoltan Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel Paulson, Andrea Carron, Melanie Zeilinger, Wenceslao Shaw Cortez, Draguna Vrabie
Collection
Published
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations
Proceedings of ECC2023
Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari Trecate
Collection Arxiv.org
Published
PIQP: A Proximal Interior-Point Quadratic Programming Solver
62nd IEEE Conference on Decision and Control
Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin Jones
Collection
to Appear
EdgeTDC: On the Security of Time Difference of Arrival Measurements in CAN Bus Systems
Network and Distributed System Security Symposium (NDSS)
Marc Roeschlin, Giovanni Camurati, Pascal Brunner, Mridula Singh, Srđan Čapkun
Collection
Published
Drone-based Volume Estimation in Indoor Environments
IFAC World Congress 2023
Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros
Collection
Published
Visual Confined-Space Navigation Using an Efficient Learned Bilinear Optic Flow Approximation for Insect-Scale Robots
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Zhitao Yu, Gioele Zardini, Andrea Censi, Sawyer Fuller
Collection
Published
Secure Communication with Batteryless Sensors
2022 11th Mediterranean Conference on Embedded Computing (MECO)
Pages 1-4
Naomi Stricker, Jan Albert, Md Rabbani, Simon Mayer, Andres Gomez
Doi.org Collection
Published
Robustness of predictive energy harvesting systems: Analysis and adaptive prediction scaling
IET Computers & Digital Techniques
Vol 16 No 4 Pages 106-124
Naomi Stricker, Reto Da Forno, Lothar Thiele
Doi.org Collection
Published
Poster Abstract: Selective Flooding-Based Communication for Energy Harvesting Networks
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Naomi Stricker, Reto Da Forno, Silvan Brandl, Lothar Thiele, Andres Gomez
Doi.org Collection
Published
Accurate Onboard Predictions for Indoor Energy Harvesting using Random Forests
2022 11th Mediterranean Conference on Embedded Computing (MECO)
Pages 1-6
Naomi Stricker, Lothar Thiele
Doi.org Collection
Published
Joint Energy Management for Distributed Energy Harvesting Systems
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
Pages 575-577
Naomi Stricker, Yingzhao Lian, Yuning Jiang, Colin Jones, Lothar Thiele
Doi.org Collection
Published
Risk-averse Heteroscedastic Bayesian Optimization
Advances in Neural Information Processing Systems
Vol 34 Pages 17235--17245
Anastasiia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Doi.org Collection

Scalable and correct by design synthesis

Published
Follow the Clairvoyant: An Imitation Learning Approach to Optimal Control
Proceedings of IFAC World congress 2023
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari Trecate
Doi.org Collection Arxiv.org
Published
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters
IEEE Contro Systems Letters
Vol 7 Pages 1885-1890
Yingzhao Lian, Jicheng Shi, Colin Jones
Collection
Published
Categorification of Negative Information using Enrichment
5th Annual International Applied Category Theory Conference (ACT 2022)
Andrea Censi, Emilio Frazzoli, Jonathan Lorand, Gioele Zardini
Doi.org Collection
Published
Stability Verification of Neural Network Controllers using Mixed-Integer Programming
IEEE Transactions on Automatic Control
Roland Schwan, Colin Jones, Daniel Kuhn
Doi.org Collection Arxiv.org
Published
Analysis and Control of Autonomous Mobility-on-Demand Systems
Annual Review of Control, Robotics, and Autonomous Systems
Vol 5 Pages 633-658
Gioele Zardini, Nicolas Lanzetti, Marco Pavone, Emilio Frazzoli
Doi.org Collection
Published
Game Theory to Study Interactions between Mobility Stakeholders
24th IEEE International Conference on Intelligent Transportation Systems (ITSC)
Pages 2054-2061
Gioele Zardini, Nicolas Lanzetti, Laura Guerrini, Emilio Frazzoli, Florian Dörfler
Doi.org Collection
Published
Resource-Aware Stochastic Self-Triggered Model Predictive Control
IEEE Control Systems Letters
Vol 6 Pages 1262 – 1267
Yingzhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin Jones
Doi.org Collection
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
IEEE European Control Conference
Gioele Zardini, Andrea Censi, Emilio Frazzoli
Game Theoretical Motion Planning - Tutorial session
IEEE International Conference on Robotics and Automation (ICRA)
Andrea Censi, Saverio Bolognani, Alessandro Zanardi, Emilio Frazzoli
Collection
Exploiting Spatial and Temporal Correlation for Event-driven Communication in WSNs
Conference on Embedded Networked Sensor Systems (Sensys2021)
Andreas Biri, Reto Forno, Tonio Gsell, Jan Beutel, Lothar Thiele
Collection
Published
Co-design of embodied intelligence: A structured approach
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages 7536-7543
Gioele Zardini, D. Milojevic, Andrea Censi, Emilio Frazzoli
Doi.org Collection
Limits and Colimits in a Category of Lenses
4th Annual International Applied Category Theory Conference (ACT)
Emma Chollet, Bruce Clarke, Michael Johnson, Maurine Songa, Vincent Wang, Gioele Zardini

Secure Cyber-Physical Systems

Published
ZenHammer: Rowhammer Attacks on AMD Zen-based Platforms
33rd USENIX Security Symposium (USENIX Security 2024)
Patrick Jattke, Max Wipfli, Flavien Solt, Michele Marazzi, Matej Bölcskei, Kaveh Razavi
Doi.org Collection
Published
BLASTER: Characterizing the Blast Radius of Rowhammer
3rd Workshop on DRAM Security (DRAMSec) co-located with ISCA 2023
Zhenrong Lang, Patrick Jattke, Michele Marazzi , Kaveh Razavi
Doi.org Collection
Published
REGA: Scalable Rowhammer Mitigation with Refresh-Generating Activations
2023 IEEE Symposium on Security and Privacy (SP)
Michele Marazzi , Flavien Solt, Patrick Jattke, Kubo Takashi, Kaveh Razavi
Doi.org Collection
Published
Time for Change: How Clocks Break UWB Secure Ranging
ArXiv
Claudio Anliker, Giovanni Camurati, Srđan Čapkun
Doi.org Collection
Published
LTrack: Stealthy Tracking of Mobile Phones in LTE
31st USENIX Security Symposium (USENIX Security 22)
Pages 1291-1306
Martin Kotuliak, Simon Erni, Patrick Leu, Marc Röschlin, Srđan Čapkun
Collection
Published
Ghost Peak: Practical Distance Reduction Attacks Against HRP UWB Ranging
31st USENIX Security Symposium (USENIX Security 22
Pages 1343-1359
Patrick Leu, Giovanni Camurati, Alexander Heinrich, Marc Röschlin, Claudio Anliker, Matthias Hollick, Srđan Čapkun, Jiska Classen
Doi.org Collection
Published
ProTRR: Principled yet Optimal In-DRAM Target Row Refresh
2022 IEEE Symposium on Security and Privacy (SP)
Pages 735-753
Michele Marazzi, Patrick Jattke, Flavien Solt, Kaveh Razavi
Doi.org Collection
Published
Blacksmith: Scalable Rowhammering in the Frequency Domain
2022 IEEE Symposium on Security and Privacy (SP)
Pages 716-734
Patrick Jattke, Victor Van Der Veen, Pietro Frigo, Stijn Gunter, Kaveh Razavi
Doi.org Collection
Published
Demo Abstract: DPP3e: A Harvesting-based Dual Processor Platform for Advanced Indoor Environmental Sensing
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Pages 495-496
Luca Rufer, Naomi Stricker, Reto Da Forno, Lothar Thiele, Andres Gomez
Doi.org Collection

Systèmes énergétiques

Published
"Rule-Based Deep Reinforcement Learning for Optimal Control of Electrical Batteries in an energy Community"
European Conference On Safety And Reliability (ESREL)
Roberto Rocchetta, Lorenzo Nespoli, Vasco Medici, Saverio Basso, Marco Derboni, Matteo Salani
Collection
Published
Employing Imbalance Forecasts to Proactively Counteract Deterministic Frequency Deviations
2023 IEEE Belgrade PowerTech
Julie Rousseau, Johanna Vorwerk, Christian Welti, Iason Avramiotis, Gabriela Hug
Collection
Published
Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result
IEEE Transactions on Control Systems Technology
Vol 31 No 6 Pages 2420 - 2436
Yingzhao Lian, Jicheng Shi, Manuel Koch, Colin Jones
Collection
Published
Optimal control configuration in distribution network via an exact OPF relaxation method
2022 IEEE 61st Conference on Decision and Control (CDC)
Pages 5698-5704
Hossein Sekhavatmanesh, Giancarlo Ferrari Trecate, Silvia Mastellone
Doi.org Collection
Published
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging simple Rules
ArXiv
Loris DiNatale, Bratislav Svetozarevic, Philipp Heer, Colin Jones
Doi.org Collection Arxiv.org
Published
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Proceedings of IFAC World congress 2023
Muhammad Zakwan, Loris DiNatale, Bratislav Svetozarevic, Philipp Heer, Colin Jones, Giancarlo Ferrari Trecate
Doi.org Arxiv.org
Published
Uncertainty-Aware Energy Flexibility Quantification of a Residential Building
2023 ISGT Europe
Pages 1-6
Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug
Collection
Published
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
IEEE 17th International Conference on Control & Automation (ICCA)
Pages 698-703
Loris DiNatale, Bratislav Svetozarevic, Philipp Heer, Colin Jones
Doi.org Collection
Published
Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
IEEE Transactions on Control Systems Technology
Vol 31 No 2 Pages 497-510
Hossein Sekhavatmanesh, Giancarlo Ferrari Trecate, Silvia Mastellone
Doi.org Collection
to Appear
Optimal droop control placement in distribution network via an exact OPF relaxation method
61st IEEE Conference on Decision and Control (CDC 2022)
Hossein Sekhavatmanesh, Giancarlo Ferrari Trecate, Silvia Mastellone
Doi.org Collection

End-to-end automated energy system

Published
Reliability Study of an Adjustable Hybrid Switch (ahs) for a High Power Automotive Converter
IEEE Journal of Emerging and Selected Topics in Power Electronics
T. Koottungal, P. Reigosa, S. Mitrova, M. Rahimo, R. Minamisawa, Silvia Mastellone
Published
Adaptive real-time grid operation via Online Feedback Optimization with sensitivity estimation
Electric Power Systems Research
Vol 212 Pages 108405
Miguel Picallo, Lukas Ortmann, Saverio Bolognani, Florian Dörfler
Doi.org
Published
Overview of Data-Driven Power Flow Linearization
IEEE PowerTech 2023
Mengshuo Jia, Gabriela Hug
Doi.org Collection
Published
Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland
ArXiv
Jicheng Shi, Yingzhao Lian, Christophe Salzmann, Colin Jones
Collection
Published
Hypergraph Based Fast Distributed AC Power Flow Optimization
ArXiv
Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin Jones, Veit Hagenmeyer
Doi.org Collection
Published
"Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets"
SmartGridComm 2023
Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata, Gabriela Hug
Collection Arxiv.org
Published
Frequency divider as a continuum
IEEE Transactions on Power Systems
Vol 37 No 6 Pages 4970-4973
Georgios Tzounas, Ioannis Dassios, Federico Milano
Doi.org Collection
Published
Deployment of an Online Feedback Optimization Controller for Reactive Power Flow Optimization in a Distribution Grid
ArXiv
Lukas Ortmann, Christian Rubin, Alessandro Scozzafava, Janick Lehmann, Saverio Bolognani, Florian Dörfler
Collection Arxiv.org
Published
Virtual Power Grid Reinforcement via Coordinated Volt/VAr Control
ArXiv
Jonas G. Matt, Lukas Ortmann, Saverio Bolognani, Florian Dörfler
Collection Arxiv.org
Published
Maximum likelihood estimation of distribution grid topology and parameters from smart meter data
Grid edge technologies 2023
Lisa Laurent, Jean-Sébastien Brouillon, Giancarlo Ferrari Trecate
Collection
Published
Tractable Identification of Electric Distribution Networks
62nd IEEE Conference on Decision and Control
Ognjen Stanojev, Lucien Werner, Steven Low, Gabriela Hug
Collection Arxiv.org
Published
On the emulation of synchronous machine dynamics by converter-interfaced generators
ArXiv
Georgios Tzounas, Federico Milano
Doi.org Collection
Published
Real-time Curative Actions for Power Systems via Online Feedback Optimization
ArXiv
Lukas Ortmann, Gianni Hotz, Saverio Bolognani, Florian Dörfler
Doi.org Collection
Published
Real-Time Feasibility of Data-Driven Predictive Control for Synchronous Motor Drives
IEEE Transactions on Power Electronics
Vol 38 No 2 Pages 1672
Paolo Gherardo Carlet, Andrea Favato, Riccardo Torchio, Francesco Toso, Saverio Bolognani, Florian Dörfler
Doi.org
Published
Voltage stability enhancement through active power control of converter-interfaced generation
2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)
Pages 550-554
Weilin Zhong, Federico Milano, Georgios Tzounas
Doi.org Collection
to Appear
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Applied Energy
Vol 325
Loris DiNatale, Bratislav Svetozarevic, Philipp Heer, Colin Jones
Doi.org Collection
Published
Stability criterion of a class of non-causal systems of differential equations
Circuits, Systems, and Signal Processing
Vol 42 Pages 2452–2467
Ioannis Dassios, Georgios Tzounas, Federico Milano
Doi.org Collection
Published
Control of Multicarrier Energy Systems from Buildings to Networks
Annual Review of Control, Robotics, and Autonomous Systems
Vol 6 No 1 Pages 391-414
Roy Smith, Varsha N. Behrunani, John Lygeros
Doi.org Collection
Published
Bayesian Error-in-Variables Models for the Identification of Distribution Grids
IEEE Transactions on Smart Grid
Vol 14 No 2
Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Keith Moffat, Florian Dörfler, Giancarlo Ferrari Trecate
Collection
Published
Moving-Horizon State Estimation for Power Networks and Synchronous Generators
arxiv
Milos Katanic, John Lygeros, Gabriela Hug
Doi.org Collection
Published
Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids
2022 IEEE 7th International Energy Conference (ENERGYCON)
Pages 1-6
Eleni Stai, Evangelia Kokolaki, Lesia Mitridati, Petros Tatoulis, Ioannis Stavrakakis, Gabriela Hug
Doi.org Collection
Published
Differentially-Private Heat and Electricity Markets Coordination
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Pages 1-6
Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto
Doi.org Collection
Published
Improving Stability of Low-Inertia Systems using Virtual Induction Machine Synchronization for Grid-Following Converters
IEEE Transactions on Power Systems
Pages 1-14
Ognjen Stanojev, Uros Markovic, Petros Aristidou, Gabriela Hug
Doi.org Collection
Published
Incentive-based electric vehicle charging for managing bottleneck congestion
European Journal of Control
Carlo Cenedese, Patrick Stokkink, Nikolas Geroliminis, John Lygeros
Doi.org Collection
Published
A dynamic behavioral model of the long-term development of solar photovoltaic generation driven by feed-in tariffs
Energy
Vol 256
Taulant Kërçi, Georgios Tzounas, Federico Milano
Doi.org Collection
to Appear
Receding Horizon Games with Coupling Constraints for Demand-Side Management
61st IEEE Conference on Decision and Control (CDC 2022)
Sophie Hall, Giuseppe Belgioioso, Dominic Liao-McPherson, Florian Dörfler
Doi.org Collection
Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty
arxiv
Alice Patig, Ognjen Stanojev, Petros Aristidou, Aristides Kiprakis, Gabriela Hug
Doi.org Collection
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control
arxiv
Ognjen Stanojev, Yi Guo, Gabriela Hug
Doi.org Collection
Published
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks
arXiv
Ognjen Stanojev, Yi Guo, Petros Aristidou, Gabriela Hug
Doi.org Collection
Published
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments
Applied Energy
Vol 307 Pages 118127
Bratislav Svetozarevic, C. Baumann, S. Muntwiler, Loris DiNatale, Melanie Zeilinger, Philipp Heer
Doi.org Collection
Published
Bayesian Methods for the Identification of Distribution Networks
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 3646-3651
Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Florian Dörfler, Giancarlo Ferrari Trecate
Doi.org Collection
Published
Cross-layer design for real-time grid operation: Estimation, optimization and power flow
Electric Power Systems Research
Vol 212 No 108378
Miguel Picallo, Dominic Liao-McPherson, Saverio Bolognani, Florian Dörfler
Collection
Primary Frequency Control Provision by Distributed Energy Resources in Active Distribution Networks
IEEE PowerTech
Ognjen Stanojev, Justin Rössli-Kueh, Uros Markovic, Petros Aristidou, Gabriela Hug
Collection
The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland
MDPI Energies
Vol 14 No 16
Loris DiNatale, Luca Funk, Martin Rüdisüli, Bratislav Svetozarevic, Ciacomo Pareschi, Philipp Heer, Giovanni Sansavini
Collection

Mobilité

Published
Train traffic control in merging stations: a data-driven approach
Transportation Research
Vol 152
Ping Huang, Zhongcan Li, Yongqiu Zhu, Chao Wen, Francesco Corman
Doi.org Collection
Published
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games
IEEE Robotics and Automation Letters
Vol 8 No 4 Pages 2293
Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
Doi.org
Published
Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control
(ITCS) IEEE 26th International Conference on Intelligent Transportation Systems
L. Sandel, Gioele Zardini, S. Mitrova, T. Thekemuriyil, R. Minamisawa, M. Rahimo, Andrea Censi, Emilio Frazzoli, Silvia Mastellone
Doi.org Collection
Published
Data-Enabled Predictive Control for Empty Vehicle Rebalancing
European Control Conference (ECC 23)
Pengbo Zhu, Giancarlo Ferrari Trecate, Nikolas Geroliminis
Collection
Published
Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
IEEE Transactions on Control Systems Technology
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Doi.org Collection
Published
Factorization of Multi-Agent Sampling-Based Motion Planning
62nd IEEE Conference on Decision and Control
Alessandro Zanardi, Pietro Zullo, Andrea Censi, Emilio Frazzoli
Collection
Published
Believe me! Why tesla’s recent alleged malfunction further highlights the need for transparent dialogue
Frontiers in Transplantation
Vol 4
Stephen Milford, Bernice S. Elger, David Shaw
Collection
Published
On the utilization of dedicated bus lanes for pooled ride-hailing services
Transportation Research Part B: Methodological
Vol 169 Pages 29-52
Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
Doi.org Collection
Published
Task-driven modular co-design of vehicle control systems
2022 IEEE 61st Conference on Decision and Control (CDC)
Gioele Zardini, Zelio Suter, Andrea Censi, Emilio Frazzoli
Doi.org Collection
Published
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
IEEE Transactions on Network Science and Engineering
Pages 1-18
Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone
Doi.org Collection
Published
Direct multiple shooting for computationally efficient train trajectory optimization
Transportation Research
Vol 152
Dimitris Kouzoupis, Ishan Pendharkar, J. Frey, Moritz Diehl, Francesco Corman
Doi.org
Published
Heuristics of Set Covering in a Benders Decomposition for Railway Timetabling
Expert Systems with Applications
Vol 159
Florin Leutwiler, Francesco Corman
Doi.org Collection
Published
Integrated speed modeling and traffic management to precisely model the effect and dynamics of temporary speed restrictions to high-speed railway traffic
Transportation Research
Vol 152
Sihui Long, Lingyun Meng, Yihui Wang, Jianrui Miao, Xiaoje Luan, Francesco Corman
Doi.org Collection
Published
Idle-vehicle rebalancing coverage control for ride-sourcing systems
2022 European Control Conference (ECC)
Pages 1970-1975
Pengbo Zhu, Isik Ilber Sirmatel, Giancarlo Ferrari Trecate, Nikolas Geroliminis
Doi.org Collection
Published
Accelerating logic-based Benders Decomposition for Railway Rescheduling by exploiting similarities in delays
Computers and Operations Research
Vol 150
Florin Leutwiler, Guillem Bonet Filella, Francesco Corman
Doi.org Collection
Published
Evaluating the Effects of Disruptions on the Behavior of Travelers in a Multimodal Network Utilizing Agent-Based Simulation
Transportation Reserach Record: Journal of the Transportation Research Board
Mahsa Rahimi Siegrist, Beda Büchel, Francesco Corman
Doi.org Collection
Published
A Pricing Mechanism for Balancing the Charging of Ride Hailing Electric Vehicle Fleets
2022 European Control Conference (ECC)
Pages 1976-1981
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Doi.org Collection
Published
Modeling and Quantifying Interaction of Information and Capacity in Public Transport Disruptions
Journal of Advanced Transportation
Vol 2021
Mahsa Rahimi Siegrist, Francesco Corman
Doi.org Collection
Published
Enhancing the interaction of railway timetabling and line planning with infrastructure awareness
Transportation Research
Vol 142
Florian Fuchs, A. Trivella, Francesco Corman
Doi.org Collection
Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control
Control Engineering Practice
Vol 109 No 104750
Isik Ilber Sirmatel, Nikolas Geroliminis
Collection
Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics
Transportation Research Part C: Emerging Technologies
Vol 128 No 103157
Isik Ilber Sirmatel, Dimitrios Tsitsokas, Anastasios Kouvelas, Nikolas Geroliminis
Doi.org Collection

Industrie 4.0

Published
Autonomous and data-efficient optimization of turning processes using expert knowledge and transfer learning
Journal of Materials Processing Technology
Vol 303 Pages 117540
Markus Maier, Hannes Kunstmann, Ruben Zwickler, Alisa Rupenyan, Konrad Wegener
Collection
Published
Multi-robot task allocation for safe planning against stochastic hazard dynamics
2023 European Control Conference (ECC)
Dániel Tihanyi, Maryam Kamgarpour, Yimeng Lu, Orcun Karaca
Collection
Published
Stress flow guided non-planar print trajectory optimization for additive manufacturing of anisotropic polymers
Additive Manufacturing
Xavier Guidetti, Efe Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros
Collection
Published
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
Proceedings of the 2022 IEEE 61st Conference on Decision and Control (CDC)
Efe Balta, Andrea Iannelli, Roy Smith, John Lygeros
Collection
Published
Certification of Bottleneck Task Assignment With Shortest Path Criteria
IEEE Robots and Automation
Vol 8 Pages 4545-4552
Tony Wood, Maryam Kamgarpour
Doi.org Collection Arxiv.org
Published
Meta-Learning Priors for Safe Bayesian Optimization
Proceedings of The 6th Conference on Robot Learning
Pages 205-237
Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause
Collection Arxiv.org
Published
Efficient sample selection for safe learning
ArXiv
Marta Zagorowska, Efe Balta, Varsha N. Behrunani, Alisa Rupenyan, John Lygeros
Collection
Published
Information-Operation Technology Integration in Industrial Cyberphysical Systems
Computer
Vol 55 No 11 Pages 115-118
Mohammad H. Mamduhi, Efe Balta, Alisa Rupenyan, John Lygeros
Collection
Published
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements
ArXiv
Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe Balta, Alisa Rupenyan, John Lygeros
Collection
Published
Controller-Aware Dynamic Network Management for Industry 4.0
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Efe Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan
Collection
Published
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process
2022 European Control Conference (ECC)
Pages 1678 - 1683
Dominic Liao-McPherson, Efe Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros
Doi.org Collection
Published
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation
60th IEEE Conference on Decision and Control (CDC 2021)
Pages 3605-3610
Efe Balta, Kira Barton, Dawn Tilbury, Alisa Rupenyan, John Lygeros
Doi.org Collection
to Appear
Batch Model Predictive Control for Selective Laser Melting
2022 European Control Conference (ECC)
Riccardo Zuliani, Efe Balta, Alisa Rupenyan, John Lygeros
Doi.org Collection
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization
IEEE International Conference on Automation Science and Engineering (CASE)
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
Collection
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
IEEE International Conference on Robotics and Automation (ICRA 2021)
Christopher Koenig, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
Collection