Peyman Mohajerin Esfahani

Orcid: 0000-0003-1286-8782

According to our database1, Peyman Mohajerin Esfahani authored at least 95 papers between 2009 and 2025.

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Bibliography

2025
Robust fault estimators for nonlinear systems: An ultra-local model design.
Autom., 2025

2024
Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming.
IEEE Control. Syst. Lett., 2024

Scalable Kernel Inverse Optimization.
CoRR, 2024

Optimal Transportation by Orthogonal Coupling Dynamics.
CoRR, 2024

Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity.
CoRR, 2024

Model Updating for Nonlinear Systems with Stability Guarantees.
CoRR, 2024

Fast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Uncertainty Learning for LTI Systems with Stability Guarantees.
Proceedings of the European Control Conference, 2024

2023
Fast Approximate Dynamic Programming for Input-Affine Dynamics.
IEEE Trans. Autom. Control., October, 2023

Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments.
IEEE Trans. Autom. Control., May, 2023

A Bayesian Approach for Active Fault Isolation With an Application to Leakage Localization in Water Distribution Networks.
IEEE Trans. Control. Syst. Technol., March, 2023

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.
Math. Oper. Res., February, 2023

From Optimization to Control: Quasi Policy Iteration.
CoRR, 2023

Robust Multivariate Detection and Estimation with Fault Frequency Content Information.
CoRR, 2023

Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms.
CoRR, 2023

Inverse Optimization for Routing Problems.
CoRR, 2023

Nonlinear Distributionally Robust Optimization.
CoRR, 2023

Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms.
CoRR, 2023

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems.
CoRR, 2023

Multimode diagnosis for switched affine systems with noisy measurement.
Autom., 2023

2022
Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach.
IEEE Trans. Smart Grid, 2022

Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation.
IEEE Trans. Autom. Control., 2022

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds.
IEEE Trans. Autom. Control., 2022

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator.
Oper. Res., 2022

Real-Time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems.
IEEE Control. Syst. Lett., 2022

Learning for Control: An Inverse Optimization Approach.
IEEE Control. Syst. Lett., 2022

Fast Algorithm for Constrained Linear Inverse Problems.
CoRR, 2022

Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design.
CoRR, 2022

Adaptive Online Optimization with Predictions: Static and Dynamic Environments.
CoRR, 2022

Data-Driven Stability Verification of Homogeneous Nonlinear Systems with Unknown Dynamics<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Macroscopic Noisy Bounded Confidence Models With Distributed Radical Opinions.
IEEE Trans. Autom. Control., 2021

Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient.
IEEE Trans. Autom. Control., 2021

From Data to Decisions: Distributionally Robust Optimization Is Optimal.
Manag. Sci., 2021

Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes.
CoRR, 2021

The Nonconvex Geometry of Linear Inverse Problems.
CoRR, 2021

Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Principal Component Hierarchy for Sparse Quadratic Programs.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multimode Diagnosis for Switched Affine Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Continuous-Time Accelerated Methods via a Hybrid Control Lens.
IEEE Trans. Autom. Control., 2020

A Decentralized Event-Based Approach for Robust Model Predictive Control.
IEEE Trans. Autom. Control., 2020

Data-Assisted Model-Based Anomaly Detection for High-Fidelity Simulators of Power Systems.
CoRR, 2020

Robust Dynamic Controllers for Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation.
CoRR, 2020

2019
UWB orthogonal pulse design using Sturm-Liouville boundary value problem.
Signal Process., 2019

Generalized Maximum Entropy Estimation.
J. Mach. Learn. Res., 2019

Regularization via Mass Transportation.
J. Mach. Learn. Res., 2019

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.
CoRR, 2019

Learning robust control for LQR systems with multiplicative noise via policy gradient.
CoRR, 2019

Long-term Behavior of Mean-field Noisy Bounded Confidence Models with Distributed Radicals.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Linear Programming Approach to Design Online Triggering Mechanisms for Robust MPC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Robust Linear Quadratic Regulator: Exact Tractable Reformulation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
LQG Control With Minimum Directed Information: Semidefinite Programming Approach.
IEEE Trans. Autom. Control., 2018

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.
SIAM J. Optim., 2018

Data-driven inverse optimization with imperfect information.
Math. Program., 2018

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations.
Math. Program., 2018

Distance Based Source Domain Selection for Sentiment Classification.
CoRR, 2018

Wasserstein Distributionally Robust Kalman Filtering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Hybrid Control Framework for Fast Methods Under Invexity: Non-Zeno Trajectories with Exponential Rate.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Security Versus Privacy.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Approximations of Stochastic Hybrid Systems: A Compositional Approach.
IEEE Trans. Autom. Control., 2017

On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems.
IEEE Control. Syst. Lett., 2017

Data-driven approximate dynamic programming: A linear programming approach.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Efficient Approximation of Quantum Channel Capacities.
IEEE Trans. Inf. Theory, 2016

A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance.
IEEE Trans. Autom. Control., 2016

Motion Planning for Continuous-Time Stochastic Processes: A Dynamic Programming Approach.
IEEE Trans. Autom. Control., 2016

A decomposition method for large scale MILPs, with performance guarantees and a power system application.
Autom., 2016

The stochastic reach-avoid problem and set characterization for diffusions.
Autom., 2016

LQG control with minimum directed information.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Efficient Approximation of Channel Capacities.
IEEE Trans. Inf. Theory, 2015

Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs.
IEEE Trans. Autom. Control., 2015

LQG Control with Minimal Information: Three-Stage Separation Principle and SDP-based Solution Synthesis.
CoRR, 2015

Distributionally Robust Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Construction of approximations of stochastic control systems: A compositional approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Symbolic Control of Stochastic Systems via Approximately Bisimilar Finite Abstractions.
IEEE Trans. Autom. Control., 2014

Large scale mixed-integer optimization: A solution method with supply chain applications.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Capacity approximation of memoryless channels with countable output alphabets.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Efficient approximation of discrete memoryless channel capacities.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Model based power optimisation of wind farms.
Proceedings of the 13th European Control Conference, 2014

Electric Vehicles aggregator optimization: a fast and solver-free solution method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Approximation of constrained average cost Marks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Symbolic models for stochastic control systems without stability assumptions.
Proceedings of the 12th European Control Conference, 2013

Analysis of controlled biological switches via stochastic motion planning.
Proceedings of the 12th European Control Conference, 2013

Bisimilar finite abstractions of stochastic control systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Fault detection with discrete-time measurements: An application for the cyber security of power networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine.
Proceedings of the American Control Conference, 2013

Adaptively constrained Stochastic Model Predictive Control for closed-loop constraint satisfaction.
Proceedings of the American Control Conference, 2013

2012
Motion Planning via Optimal Control for Stochastic Processes
CoRR, 2012

Cyber-security of SCADA systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

A tractable nonlinear fault detection and isolation technique with application to the cyber-physical security of power systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Hybrid Modelling and Reachability on Autonomous RC-Cars.
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2012

2011
On a problem of stochastic reach-avoid set characterization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
A robust policy for Automatic Generation Control cyber attack in two area power network.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Cyber attack in a two-area power system: Impact identification using reachability.
Proceedings of the American Control Conference, 2010

2009
An optimization-based approach to control of robotic manipulators.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009


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