Peyman Mohajerin Esfahani

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 89

Top Venues

CoRR

IEEE Trans. Autom. Control.

CDC

IEEE Control. Syst. Lett.

Publications

Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
Fast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation. MED (2024)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Model Updating for Nonlinear Systems with Stability Guarantees. CoRR (2024)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Uncertainty Learning for LTI Systems with Stability Guarantees. ECC (2024)
Sasan Vakili, Mohammad Khosravi, Peyman Mohajerin Esfahani, Manuel Mazo
Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming. IEEE Control. Syst. Lett. 8 (2024)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. 48 (1) (2023)
Mohamad Amin Sharifi Kolarijani, Peyman Mohajerin Esfahani
Fast Approximate Dynamic Programming for Input-Affine Dynamics. IEEE Trans. Autom. Control. 68 (10) (2023)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design. CoRR (2023)
Pedro Zattoni Scroccaro, Bilge Atasoy, Peyman Mohajerin Esfahani
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms. CoRR (2023)
Jingwei Dong, Yucheng Liao, Peyman Mohajerin Esfahani
Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems. CoRR (2023)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Uncertainty Learning for LTI Systems with Stability Guarantees. CoRR (2023)
Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments. IEEE Trans. Autom. Control. 68 (5) (2023)
Jingwei Dong, Kaikai Pan, Sérgio Pequito, Peyman Mohajerin Esfahani
Robust Multivariate Detection and Estimation with Fault Frequency Content Information. CoRR (2023)
Mohammed Rayyan Sheriff, Peyman Mohajerin Esfahani
Nonlinear Distributionally Robust Optimization. CoRR (2023)
Gert van Lagen, Edo Abraham, Peyman Mohajerin Esfahani
A Bayesian Approach for Active Fault Isolation With an Application to Leakage Localization in Water Distribution Networks. IEEE Trans. Control. Syst. Technol. 31 (2) (2023)
Robert D. McAllister, Peyman Mohajerin Esfahani
Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms. CoRR (2023)
Mohamad Amin Sharifi Kolarijani, Peyman Mohajerin Esfahani
From Optimization to Control: Quasi Policy Iteration. CoRR (2023)
Jingwei Dong, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Multimode diagnosis for switched affine systems with noisy measurement. Autom. 151 (2023)
Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
Inverse Optimization for Routing Problems. CoRR (2023)
Chris van der Ploeg, Emilia Silvas, Nathan van de Wouw, Peyman Mohajerin Esfahani
Real-Time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems. IEEE Control. Syst. Lett. 6 (2022)
Mohammad Saeed Sarafraz, Anton V. Proskurnikov, Mohammad Saleh Tavazoei, Peyman Mohajerin Esfahani
Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation. IEEE Trans. Autom. Control. 67 (7) (2022)
Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Adaptive Online Optimization with Predictions: Static and Dynamic Environments. CoRR (2022)
Syed Adnan Akhtar, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Learning for Control: An Inverse Optimization Approach. IEEE Control. Syst. Lett. 6 (2022)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design. CoRR (2022)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction. CDC (2022)
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach. IEEE Trans. Smart Grid 13 (2) (2022)
Chris van der Ploeg, Mohsen Alirezaei, Nathan van de Wouw, Peyman Mohajerin Esfahani
Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds. IEEE Trans. Autom. Control. 67 (9) (2022)
Abolfazl Lavaei, Peyman Mohajerin Esfahani, Majid Zamani
. CDC (2022)
Mohammed Rayyan Sheriff, Floor Fenne Redel, Peyman Mohajerin Esfahani
Fast Algorithm for Constrained Linear Inverse Problems. CoRR (2022)
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw
Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction. CoRR (2022)
Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. Oper. Res. 70 (1) (2022)
Jingwei Dong, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Multimode Diagnosis for Switched Affine Systems with Noisy Measurement. CoRR (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. CoRR (2021)
Mohamad Amin Sharifi Kolarijani, G. F. Max, Peyman Mohajerin Esfahani
Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes. CoRR (2021)
Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers
Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient. IEEE Trans. Autom. Control. 66 (11) (2021)
Jingwei Dong, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Multimode Diagnosis for Switched Affine Systems. ACC (2021)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. 67 (6) (2021)
Armin Eftekhari, Peyman Mohajerin Esfahani
The Nonconvex Geometry of Linear Inverse Problems. CoRR (2021)
Mohamad Amin Sharifi Kolarijani, Anton V. Proskurnikov, Peyman Mohajerin Esfahani
Macroscopic Noisy Bounded Confidence Models With Distributed Radical Opinions. IEEE Trans. Autom. Control. 66 (3) (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. ICML (2021)
Syed Adnan Akhtar, Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani
Learning for Control: An Inverse Optimization Approach. ACC (2021)
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
Data-Assisted Model-Based Anomaly Detection for High-Fidelity Simulators of Power Systems. CoRR (2020)
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamás Keviczky
Continuous-Time Accelerated Methods via a Hybrid Control Lens. IEEE Trans. Autom. Control. 65 (8) (2020)
Chris van der Ploeg, Mohsen Alirezaei, Nathan van de Wouw, Peyman Mohajerin Esfahani
Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds. CoRR (2020)
Farhad Farokhi, Peyman Mohajerin Esfahani
Security Versus Privacy. CoRR (2020)
Mohammad Saeed Sarafraz, Anton V. Proskurnikov, Mohammad Saleh Tavazoei, Peyman Mohajerin Esfahani
Robust Dynamic Controllers for Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation. CoRR (2020)
Arman Sharifi Kolarijani, Sander C. Bregman, Peyman Mohajerin Esfahani, Tamás Keviczky
A Decentralized Event-Based Approach for Robust Model Predictive Control. IEEE Trans. Autom. Control. 65 (8) (2020)
Mohamad Amin Sharifi Kolarijani, Peyman Mohajerin Esfahani
Fast Approximate Dynamic Programming for Input-Affine Dynamics. CoRR (2020)
Mohamad Amin Sharifi Kolarijani, Anton V. Proskurnikov, Peyman Mohajerin Esfahani
Long-term Behavior of Mean-field Noisy Bounded Confidence Models with Distributed Radicals. CDC (2019)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Generalized Maximum Entropy Estimation. J. Mach. Learn. Res. 20 (2019)
Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR (2019)
Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers
Learning robust control for LQR systems with multiplicative noise via policy gradient. CoRR (2019)
Mohamad Amin Sharifi Kolarijani, Anton V. Proskurnikov, Peyman Mohajerin Esfahani
Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions. CoRR (2019)
Arash Amini, Peyman Mohajerin Esfahani, Mohammad Ghavami, Farokh Marvasti
UWB orthogonal pulse design using Sturm-Liouville boundary value problem. Signal Process. 159 (2019)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. J. Mach. Learn. Res. 20 (2019)
Arman Sharifi Kolarijani, Sander C. Bregman, Peyman Mohajerin Esfahani, Tamás Keviczky
A Linear Programming Approach to Design Online Triggering Mechanisms for Robust MPC. CDC (2019)
Wouter Jongeneel, Tyler H. Summers, Peyman Mohajerin Esfahani
Robust Linear Quadratic Regulator: Exact Tractable Reformulation. CDC (2019)
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamás Keviczky
A Hybrid Control Framework for Fast Methods Under Invexity: Non-Zeno Trajectories with Exponential Rate. CDC (2018)
Farhad Farokhi, Peyman Mohajerin Esfahani
Security Versus Privacy. CDC (2018)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. 28 (3) (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS (2018)
Arman Sharifi Kolarijani, Sander Bregman, Peyman Mohajerin Esfahani, Tamás Keviczky
A Decentralized Event-Based Approach for Robust Model Predictive Control. CoRR (2018)
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamás Keviczky
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework. ICML (2018)
Peyman Mohajerin Esfahani, Daniel Kuhn
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations. Math. Program. 171 (1-2) (2018)
Lex Razoux Schultz, Marco Loog, Peyman Mohajerin Esfahani
Distance Based Source Domain Selection for Sentiment Classification. CoRR (2018)
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamás Keviczky
Continuous-Time Accelerated Methods via a Hybrid Control Lens. CoRR (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. CoRR (2018)
Takashi Tanaka, Peyman Mohajerin Esfahani, Sanjoy K. Mitter
LQG Control With Minimum Directed Information: Semidefinite Programming Approach. IEEE Trans. Autom. Control. 63 (1) (2018)
Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn
Data-driven inverse optimization with imperfect information. Math. Program. 167 (1) (2018)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR (2017)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. CoRR (2017)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR (2017)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. CoRR (2017)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Generalized maximum entropy estimation. CoRR (2017)
Majid Zamani, Matthias Rungger, Peyman Mohajerin Esfahani
Approximations of Stochastic Hybrid Systems: A Compositional Approach. IEEE Trans. Autom. Control. 62 (6) (2017)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. IEEE Control. Syst. Lett. 1 (1) (2017)
Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros
Data-driven approximate dynamic programming: A linear programming approach. CDC (2017)
Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros
Motion Planning for Continuous-Time Stochastic Processes: A Dynamic Programming Approach. IEEE Trans. Autom. Control. 61 (8) (2016)
Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros
The stochastic reach-avoid problem and set characterization for diffusions. Autom. 70 (2016)
David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
Efficient Approximation of Quantum Channel Capacities. IEEE Trans. Inf. Theory 62 (1) (2016)
Takashi Tanaka, Peyman Mohajerin Esfahani, Sanjoy K. Mitter
LQG control with minimum directed information. CDC (2016)
Peyman Mohajerin Esfahani, John Lygeros
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance. IEEE Trans. Autom. Control. 61 (3) (2016)
Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari
A decomposition method for large scale MILPs, with performance guarantees and a power system application. Autom. 67 (2016)
Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs. IEEE Trans. Autom. Control. 60 (1) (2015)
Majid Zamani, Matthias Rungger, Peyman Mohajerin Esfahani
Approximations of Stochastic Hybrid Systems: A Compositional Approach. CoRR (2015)
Majid Zamani, Matthias Rungger, Peyman Mohajerin Esfahani
Construction of approximations of stochastic control systems: A compositional approach. CDC (2015)
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn
Distributionally Robust Logistic Regression. NIPS (2015)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Efficient Approximation of Channel Capacities. IEEE Trans. Inf. Theory 61 (4) (2015)
Takashi Tanaka, Peyman Mohajerin Esfahani, Sanjoy K. Mitter
LQG Control with Minimal Information: Three-Stage Separation Principle and SDP-based Solution Synthesis. CoRR (2015)
Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, John Lygeros
Symbolic Control of Stochastic Systems via Approximately Bisimilar Finite Abstractions. IEEE Trans. Autom. Control. 59 (12) (2014)
Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Manfred Morari
Electric Vehicles aggregator optimization: a fast and solver-free solution method. CDC (2014)
Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros
Model based power optimisation of wind farms. ECC (2014)
David Sutter, Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
Efficient approximation of discrete memoryless channel capacities. ISIT (2014)
Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Manfred Morari
Large scale mixed-integer optimization: A solution method with supply chain applications. MED (2014)
Peyman Mohajerin Esfahani, John Lygeros
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance. CoRR (2014)
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros
Efficient Approximation of Channel Capacities. CoRR (2014)
Tobias Sutter, Peyman Mohajerin Esfahani, David Sutter, John Lygeros
Capacity approximation of memoryless channels with countable output alphabets. ISIT (2014)
David Sutter, Tobias Sutter, Peyman Mohajerin Esfahani, Renato Renner
Efficient Approximation of Quantum Channel Capacities. CoRR (2014)
Robin Vujanic, Peyman Mohajerin Esfahani, Paul J. Goulart, Sébastien Mariéthoz, Manfred Morari
A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application. CoRR (2014)
Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
Approximation of constrained average cost Marks. CDC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peyman Mohajerin Esfahani