Journal Publications, Preprints, and Technical Reports

Preprints

[P6] Fault Isolation for the Ink Deposition Process in High-End Industrial Printers

Casper van Peijpe, Farhad Ghanipoor, Youri de Loore, Pim Hacking, Nathan van de Wouw, and Peyman Mohajerin Esfahani
submitted for publication, December 2024, [arXiv]

[P5] Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity

Mohammad Boveiri and Peyman Mohajerin Esfahani
submitted for publication, August 2024, [arXiv]

[P4] Adaptive Accelerated Composite Minimization

Reza Rahimi Baghbadorani, Sergio Grammatico, and Peyman Mohajerin Esfahani
submitted for publication, May 2024, [arXiv]

[P3] Model Updating for Nonlinear Systems with Stability Guarantees

Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
submitted for publication, June 2024, [arXiv]

[P2] Offline Reinforcement Learning via Inverse Optimization

Ioannis Dimanidis, Tolga Ok, and Peyman Mohajerin Esfahani
submitted for publication, May 2024, [Code]

[P1] From Optimization to Control: Quasi Policy Iteration

Amin Kolarijani and Peyman Mohajerin Esfahani
submitted for publication, November 2023, [arXiv]

Journals

[46] Fast Algorithm for Constrained Linear Inverse Problems

Mohammad Rayyan Sheriff, Floor Redel, and Peyman Mohajerin Esfahani
Journal of Machine Learning Research (JMLR), minor revision, 2025, [arXiv], [Code]

[J45] Nonlinear Distributionally Robust Optimization

Mohammad Rayyan Sheriff and Peyman Mohajerin Esfahani
Mathematical Programming (MP), 2024, [Link], [arXiv], [Code]

[J44] Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms

Pedro Zattoni Scroccaro, Bilge Atasoy, and Peyman Mohajerin Esfahani
Operations Research (OR), 2024, [Link], [arXiv], [Code]

[J43] Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms

Robert D. McAllister and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), 2024, [Link], [arXiv], [Code]

[J42] Inverse Optimization for Routing Problems

Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
Transportation Science, 2024, [Link], [arXiv], [Code]

[J41] Robust Fault Estimation with Structured Uncertainty: Scalable Algorithms and Experimental Validation in Automated Vehicles

Chris van der Ploeg, Emilia Silvas, Peyman Mohajerin Esfahani, and Nathan van de Wouw
IEEE Transactions on Control Systems and Technology (TCST), minor revision, 2024
>> Experiment Video

[J40] Robust Multivariate Detection and Estimation with Fault Frequency Content Information

Jingwei Dong, Kaikai Pan, Sergio Pequito, and Peyman Mohajerin Esfahani
Automatica, 2024, [arXiv]

[J39] Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems

Jingwei Dong, Yucheng Liao, Haiwei Xie, Jochen Cremer, Peyman Mohajerin Esfahani
IEEE Transactions on Control Systems and Technology (TCST), 2024, [Link], [arXiv]

[J38] Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design

Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, and Nathan van de Wouw
Automatica, 2024, [Link], [arXiv]

[J37] Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming

Sasan Vakili, Mohammad Khosravi, Peyman Mohajerin Esfahani, and Manuel Mazo
IEEE Control Systems Letters, vol. 8, pp. 73 - 78, 2023, [Link]

[J36] Multimode Diagnosis for Switched Affine Systems with Noisy Measurement

Jingwei Dong, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
Automatica, vol. 151, 2023, [Link], [arXiv]

[J35] Fast Approximate Dynamic Programming for Input-Affine Dynamics

Amin Kolarijani and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 68, no. 10, pp. 6315 - 6322, 2023, [Link], [arXiv], [Code]

[J34] Adaptive Online Optimization with Predictions: Static and Dynamic Environments

Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 68, no. 5, pp. 2906-2921, 2023, [Link], [arXiv]

[J33] Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

Chris van der Ploeg, Mohsen Alirezaie, Nathan van de Wouw, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 67, no. 9, pp. 4916 - 4923, 2022, [Link], [arXiv]

[J32] A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks

Gert van Lagen, Edo Abraham, and Peyman Mohajerin Esfahani
IEEE Transactions on Control Systems and Technology (TCST), vol. 31, no. 2, pp. 761-771, 2023, [Link]

[J31] Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, and Peyman Mohajerin Esfahani
Mathematics of Operations Research (MOR), vol. 48, no. 1, pp. 1-37, 2023, [Link], [arXiv]

[J30] Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation

Mohammad Saeed Sarafraz, Anton Proskurnikov, Mohammad Saleh Tavazoei, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 67, no. 7, pp. 3529-3536, 2022, [Link], [arXiv]

[J29] Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems

Chris van der Ploeg, Emilia Silvas, Nathan van de Wouw, and Peyman Mohajerin Esfahani
IEEE Control Systems Letters, vol. 6, pp. 1988-1993, 2021, [Link], [arXiv]

[J28] Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach

Kaikai Pan, Peter Palensky, and Peyman Mohajerin Esfahani
IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1500-1515, 2022, [Link], [arXiv]

[J27] Learning for Control: An Inverse Optimization Approach

Syed Adnan Akhtar, Arman Sharifi Kolarijani and Peyman Mohajerin Esfahani
IEEE Control Systems Letters, vol. 6, pp. 187-192, 2021 [Link], [Code]

[J26] Learning Robust Controllers for Linear Quadratic Systems with Multiplicative Noise via Policy Gradient

Benjamin Gravell, Peyman Mohajerin Esfahani, and Tyler Summers
IEEE Transactions on Automatic Control (TAC), vol. 66, no. 11, pp. 5283-5298, 2021, [Link], [arXiv]

[J25] From Data to Decisions: Distributionally Robust Optimization is Optimal

Bart Van Parys, Peyman Mohajerin Esfahani, and Daniel Kuhn
Management Science (MS), vol. 67, no. 6, pp. 3387-3402, 2021, [Link], [arXiv]

[J24] Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions

Amin Kolarijani, Anton Proskurnikov, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 66, no. 3, pp. 1174-1189, 2021, [Link], [arXiv]

[J23] Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Viet Anh Nguyen, Daniel Kuhn, and Peyman Mohajerin Esfahani
Operations Research (OR), vol. 70, no. 1, pp. 490-515, 2021, [Link], [arXiv], [Code]
>> Winner of the 2018 George Nicholson Outstanding Student Paper

[J22] A Decentralized Event-based Mechanism for Robust Model Predictive Control

Arman Sharifi Kolarijani, Sander Bregman, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Transactions on Automatic Control (TAC), vol. 65, no. 8, pp. 3517-3529, 2020, [Link], [arXiv]

[J21] Continuous Time Accelerated Methods via a Hybrid Control Lens

Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, and Tamas Keviczky
IEEE Transactions on Automatic Control (TAC), vol. 65, no. 8, pp. 3425-3440, 2020, [Link], [arXiv]

[J20] From Static to Dynamic Anomaly Detection with Application to Power System Cyber Security

Kaikai Pan, Peter Palensky, and Peyman Mohajerin Esfahani
IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1584-1596, 2020,[Link], [arXiv]

[J19] Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, and Soroosh Shafieezadeh Abadeh
INFORMS Tutorials in Operations Research, pp. 130-166, 2019, [Link], [arXiv]

[J18] Generalized Maximum Entropy Estimation

Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, and John Lygeros
Journal of Machine Learning Research (JMLR), vol. 20, no. 138, pp. 1-29, 2019, [Link], [arXiv]

[J17] Regularization via Mass Transportation

Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, and Peyman Mohajerin Esfahani
Journal of Machine Learning Research (JMLR), vol. 20, no. 103, pp. 1−68, 2019, [Link], [arXiv], [Code]

[J16] UWB Orthogonal Pulse Design using Sturm-Liouville Boundary Value Problem

Arash Amini, Peyman Mohajerin Esfahani, Mohammad Ghavami, and Farokh Marvasti
Signal Processing, vol. 159, pp. 147–158, 2019, [Link]

[J15] Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Peyman Mohajerin Esfahani and Daniel Kuhn
Mathematical Programming, vol. 171, no. 1, pp. 115-166, 2018, [Link], [arXiv]
>> The 2020 INFORMS Frederick W. Lanchester Prize
>> MOSEK Jupyter Notebook and Video

[J14] From Infinite to Finite Programs: Explicit Error Bounds with an Application to Approximate Dynamic Programming

Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, and John Lygeros
SIAM Journal on Optimization (SIOPT), vol. 28, no. 3, pp. 1968-1998, 2018, [Link], [arXiv]

[J13] LQG Control With Minimum Directed Information: Semidefinite Programming Approach

Takashi Tanaka, Peyman Mohajerin Esfahani, and Sanjoy Mitter
IEEE Transactions on Automatic Control (TAC), vol. 63, no. 1, pp. 37-52, 2018, [Link], [arXiv]

[J12] Data-driven Inverse Optimization with Imperfect Information

Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani A. Hanasusanto, and Daniel Kuhn
Mathematical Programming, vol. 167, no. 1, pp. 191-234, 2018, [Link], [arXiv], [Code]

[J11] On Infinite Linear Programming Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems

Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Control Systems Letters, vol. 1, no. 1, pp. 134-139, 2017, [Link], [arXiv]

[J10] Approximation of Stochastic Hybrid Systems: A Compositional Approach

Majid Zamani, Mattias Rungger, and Peyman Mohajerin Esfahani
IEEE Transactions on Automatic Control (TAC), vol. 62, no. 6, pp. 2838-2853, 2017, [Link], [arXiv]

[J9] The Stochastic Reach-Avoid Problem and Set Characterization for Diffusions

Peyman Mohajerin Esfahani, Debasish Chatterjee, and John Lygeros
Automatica, vol. 70, pp. 43-56, 2016, [Link], [arXiv]

[J8] Motion Planning for Continuous Time Stochastic Processes: A Dynamic Programming Approach

Peyman Mohajerin Esfahani, Debasish Chatterjee, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 61, no. 8, pp. 2155-2170, 2016 [Link], [arXiv]

[J7] Efficient Approximation of Quantum Channel Capacities

David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, and Renato Renner
IEEE Transactions on Information Theory (TIT), vol. 62, no. 1, pp. 578-598, 2016, [Link], [arXiv]

[J6] A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application

Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Sebastian Mariethoz, and Manfred Morari
Automatica, vol. 67, pp. 144-156, 2016, [Link], [arXiv]

[J5] A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance

Peyman Mohajerin Esfahani and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 61, no. 3, pp. 633-647, 2016, [Link], [arXiv]

[J4] Efficient Approximation of Channel Capacities

Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, and John Lygeros
IEEE Transactions on Information Theory (TIT), vol. 61, no. 4, pp. 1649-1666, 2015, [Link], [arXiv]

[J3] Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs

Peyman Mohajerin Esfahani, Tobias Sutter, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 60, no. 1, pp. 46-58, 2015, [Link], [arXiv]
>> The 2016 George S. Axelby Outstanding Paper Award

[J2] Symbolic Control of Stochastic Systems via Approximately Bisimilar Finite Abstractions

Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, and John Lygeros
IEEE Transactions on Automatic Control (TAC), vol. 59, no. 12, pp. 3135-3150, 2014, [Link], [arXiv]

[J1] Optimal State-Feedback Design for Nonlinear Feedback-Linearizable Systems

Peyman Mohajerin Esfahani, Farhad Farokhi, Masoud Karimi-Ghartemani
IET Control Theory & Applications, vol. 5, no. 2, pp. 323-333, 2011, [Link]

Technical Reports

[TR1] Distance Based Source Domain Selection for Sentiment Classification

Lex Razoux Schultz, Marco Loog, and Peyman Mohajerin Esfahani
Auguest 2018, [arXiv]

[TR2] The Nonconvex Geometry of Linear Inverse Problems

Armin Eftekhari and Peyman Mohajerin Esfahani
January 2021, [arXiv]