Control without Trust: A Distributionally Robust Approach

Informazioni relative al progetto

TRUST

ID dell’accordo di sovvenzione: 949796

DOI

10.3030/949796

Data della firma CE 26 Ottobre 2020

Data di avvio 1 Aprile 2021

Data di completamento 31 Marzo 2026

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 499 515,00

Contributo UE

€ 1 499 515,00

Coordinato da

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Open Research Data Pilot (1)

Data Management Plan

Data management plan and deposition of research data in certified 4TU research database

Pubblicazioni

Other (4)

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems

Autori: Jingwei Dong, Yucheng Liao, Haiwei Xie, Jochen Cremer, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Control Systems and Technology, 2024
Editore: IEEE

From Optimization to Control: Quasi Policy Iteration

Autori: Mohammad Amin Sharifi Kolarijani, and Peyman Mohajerin Esfahani
Pubblicato in: Transactions on Automatic Control (under review), 2023
Editore: IEEE

Fast Algorithm for Constrained Linear Inverse Problems

Autori: Mohammad Rayyan Sheriff, Floor Redel, and Peyman Mohajerin Esfahani
Pubblicato in: Journal of Machine Learning Research, 2025
Editore: Journal of Machine Learning Research, Inc.
DOI: 10.48550/arxiv.2212.01068

Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms

Autori: Robert D. McAllister, and Peyman Mohajerin Esfahani
Pubblicato in: Transactions on Automatic Control (under review), 2023
Editore: IEEE

Peer reviewed articles (24)

Model updating for nonlinear systems with stability guarantees

Autori: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Pubblicato in: Automatica, Numero 184, 2025, Pagina/e 112729, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2025.112729

Learning for Control: An Inverse Optimization Approach

Autori: Syed Adnan Akhtar, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
Pubblicato in: IEEE Control Systems Letters, 2021, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2021.3050305

Robust fault estimators for nonlinear systems: An ultra-local model design

Autori: Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Pubblicato in: Automatica, Numero 171, 2024, Pagina/e 111920, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.111920

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

Autori: Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Pubblicato in: Mathemtics of Operations Research, 2022, ISSN 1526-5471
Editore: INFORMS
DOI: 10.1287/moor.2021.1176

Fast Approximate Dynamic Programming for Input-Affine Dynamics

Autori: Mohammad Amin Sharifi Kolarijani, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, 2023, ISSN 1558-2523
Editore: IEEE
DOI: 10.1109/tac.2022.3232637

Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach

Autori: Kaikai Pan; Peter Palensky; Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transaction on Smart Grid, 2022, ISSN 1949-3061
Editore: IEEE
DOI: 10.1109/tsg.2021.3129074

Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments

Autori: Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, Numero 68, 2023, Pagina/e 2906-2921, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2023.3237486

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems

Autori: Jingwei Dong, Yucheng Liao, Haiwei Xie, Jochen Cremer, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Control Systems Technology, 2024, Pagina/e 1-8, ISSN 1063-6536
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2024.3458467

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Autori: Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Pubblicato in: Operations Research, 2022, ISSN 1526-5463
Editore: INFORMS
DOI: 10.1287/opre.2020.2076

Robust multivariate detection and estimation with fault frequency content information

Autori: Jingwei Dong, Kaikai Pan, Sérgio Pequito, Peyman Mohajerin Esfahani
Pubblicato in: Automatica, Numero 173, 2025, Pagina/e 112049, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.112049

Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms

Autori: Pedro Zattoni Scroccaro, Bilge Atasoy, Peyman Mohajerin Esfahani
Pubblicato in: Operations Research, 2024, ISSN 0030-364X
Editore: Institute for Operations Research and the Management Sciences
DOI: 10.1287/opre.2023.0254

A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks

Autori: Gert van Lagen; Edo Abraham; Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Control Systems Technology, 2022, ISSN 1558-0865
Editore: IEEE
DOI: 10.1109/tcst.2022.3201334

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

Autori: Chris van der Ploeg, Mohsen Alirezaei, Nathan van de Wouw, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, 2022, ISSN 1558-2523
Editore: INFORMS
DOI: 10.1109/tac.2022.3167225

Macroscopic Noisy Bounded Confidence Models With Distributed Radical Opinions

Autori: Mohammad Amin Sharifi Kolarijani, Anton Proskurnikov, and Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, 2021, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2020.2994284

Distributionally Robust Model Predictive Control: Closed-Loop Guarantees and Scalable Algorithms

Autori: Robert D. McAllister, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, Numero 70, 2025, Pagina/e 2963-2978, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2024.3498702

Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems

Autori: Chris van der Ploeg, Emilia Silvas, Nathan van de Wouw, Peyman Mohajerin Esfahani
Pubblicato in: IEEE Control Systems Letters, 2021, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2021.3137711

Inverse Optimization for Routing Problems

Autori: Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
Pubblicato in: Transportation Science, 2024, ISSN 0041-1655
Editore: Institute for Operations Research and the Management Sciences
DOI: 10.1287/trsc.2023.0241

Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation

Autori: Mohammad Saeed Sarafraz, Anton Proskurnikov, Mohammad Saleh Tavazoei, and Peyman Mohajerin Esfahani
Pubblicato in: IEEE Transactions on Automatic Control, 2021, ISSN 1558-2523
Editore: IEEE
DOI: 10.1109/tac.2021.3097285

A User-Centric Game for Balancing V2G Benefits With Battery Degradation of Electric Vehicles

Autori: Arghya Mallick, Georgios Pantazis, Peyman Mohajerin Esfahani, Sergio Grammatico
Pubblicato in: IEEE Transactions on Transportation Electrification, Numero 11, 2025, Pagina/e 13262-13273, ISSN 2332-7782
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tte.2025.3593837

Multimode diagnosis for switched affine systems with noisy measurement

Autori: Jingwei Dong; Arman Sharifi Kolarijani; Peyman Mohajerin Esfahani
Pubblicato in: Automatica, 2023, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2023.110898

Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming

Autori: Sasan Vakili; Mohammad Khosravi; Peyman Mohajerin Esfahani; Manuel Mazo
Pubblicato in: IEEE Control Systems Letters, 2023, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2023.3347198

Robust Fault Estimation With Structured Uncertainty: Scalable Algorithms and Experimental Validation in Automated Vehicles

Autori: Chris van der Ploeg, Pedro Vieira Oliveira, Emilia Silvas, Peyman Mohajerin Esfahani, Nathan van de Wouw
Pubblicato in: IEEE Transactions on Control Systems Technology, Numero 33, 2025, Pagina/e 1651-1666, ISSN 1063-6536
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2025.3552618

A Frank-Wolfe algorithm for strongly monotone variational inequalities

Autori: Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
Pubblicato in: Operations Research Letters, Numero 65, 2025, Pagina/e 107388, ISSN 0167-6377
Editore: Elsevier BV
DOI: 10.1016/j.orl.2025.107388

Nonlinear distributionally robust optimization

Autori: Mohammed Rayyan Sheriff, Peyman Mohajerin Esfahani
Pubblicato in: Mathematical Programming, Numero 213, 2025, Pagina/e 639-698, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-024-02151-7

Conference proceedings (9)

Principal Component Hierarchy for Sparse Quadratic Programs

Autori: Vreugdenhil, Robbie; Nguyen, Viet Anh; Eftekhari, Armin; Esfahani, Peyman Mohajerin
Pubblicato in: International Conference on Machine Learning (ICML), 2021
Editore: International Conference on Machine Learning (ICML)
DOI: 10.48550/arxiv.2105.12022

Scalable Kernel Inverse Optimization

Autori: Youyuan Long, Peyman Mohajerin Esfahani, Tolga Ok, Pedro Zattoni Scroccaro
Pubblicato in: Advances in Neural Information Processing Systems 37, 2025, Pagina/e 99464-99487
Editore: Neural Information Processing Systems Foundation, Inc. (NeurIPS)
DOI: 10.52202/079017-3156

Rank-One Modified Value Iteration

Autori: Arman S. Kolarijani, Tolga Ok, Peyman Mohajerin Esfahani, and Mohamad Amin Sharifi Kolarijan
Pubblicato in: International Conference on Machine Learning (ICML), 2025
Editore: Proceedings of Machine Learning Research (PMLR)

Harmonic RL: A Frequency-Domain Approach to Reinforcement Learning with Application to Active Knee Prosthesis

Autori: Can Cetindag, Robert D. McAllister, and Peyman Mohajerin Esfahani
Pubblicato in: IEEE Conference on Decision and Control, 2024
Editore: IEEE

Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes

Autori: Kolarijani, M. A. S.; Max, G. F.; Esfahani, P. Mohajerin
Pubblicato in: Neural Information Processing Systems (NeurIPS), Numero 1, 2021
Editore: NeurIPS
DOI: 10.48550/arxiv.2102.08880

Multimode Diagnosis for Switched Affine Systems

Autori: Jingwei Dong; Arman Sharifi Kolarijani; Peyman Mohajerin Esfahani
Pubblicato in: American Control Conference, ACC 2021, 2021
Editore: IEEE
DOI: 10.23919/acc50511.2021.9483077

Inverse Optimization via Learning Feasible Regions

Autori: Ke Ren · Peyman Mohajerin Esfahani · Angelos Georghiou
Pubblicato in: International Conference on Machine Learning (ICML), 2025
Editore: Proceedings of Machine Learning Research (PMLR)

A Hybrid Algorithm for Monotone Variational Inequalities

Autori: Reza Rahimi Baghbadorania, Peyman Mohajerin Esfahania, and Sergio Grammatico
Pubblicato in: European Control Conference (ECC), 2025
Editore: IEEE

monviso: A Python Package for Solving Monotone Variational Inequalities

Autori: Nicola Mignoni, Reza Rahimi Baghbadorani, Raffaele Carli, Peyman Mohajerin Esfahani, Mariagrazia Dotoli, and Sergio Grammatico
Pubblicato in: European Control Conference (ECC), 2025
Editore: IEEE