Farnaz Adib Yaghmaie

Assistant Professor, Docent

My research lies at the intersection of control and machine learning. I focus on redefining machine learning paradigms for control problems.

Publication list

Journal papers

Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares,  Online Learning of Stabilizing Controllers Using Noisy Input-Output Data and Prior Knowledge, IEEE Open Journal of Control Systems 4:156-171 (2025)  https://doi.org/10.1109/OJCSYS.2025.3570578

Ramin Esmzad, Farnaz Adib Yaghmaie, Hamidreza Modares,  Natural Gradient Descent for Control, ASME Letters in Dynamic Systems and Control 6:011006 (2025)  https://doi.org/10.1115/1.4069754

Farnaz Adib Yaghmaie, Hamidreza Modares, Fredrik Gustafsson,  Reinforcement Learning for Partially Observable Linear Gaussian Systems Using Batch Dynamics of Noisy Observations, IEEE Transactions on Automatic Control 69:6397-6404 (2024)  https://doi.org/10.1109/TAC.2024.3385680

Amir Modares, Nasser Sadati, Babak Esmaeili, Farnaz Adib Yaghmaie, Hamidreza Modares,  Safe Reinforcement Learning via a Model-Free Safety Certifier, IEEE Transactions on Neural Networks and Learning Systems 35:3302-3311 (2024)  https://doi.org/10.1109/TNNLS.2023.3264815

Farnaz Adib Yaghmaie, Fredrik Gustafsson, Lennart Ljung,  Linear Quadratic Control Using Model-Free Reinforcement Learning, IEEE Transactions on Automatic Control 68:737-752 (2023)  https://doi.org/10.1109/TAC.2022.3145632

Farnaz Adib Yaghmaie, Hamidreza Modares,  Online Optimal Tracking of Linear Systems with Adversarial Disturbances, Transactions on Machine Learning Research (2023)

Farnaz Adib Yaghmaie, Kristian Hengster Movric, Frank L. Lewis, Rong Su,  Differential graphical games for H-infinity control of linear heterogeneous multiagent systems, International Journal of Robust and Nonlinear Control 29:2995-3013 (2019)  https://doi.org/10.1002/rnc.4538

Farnaz Adib Yaghmaie, Svante Gunnarsson, Frank L. Lewis,  Output regulation of unknown linear systems using average cost reinforcement learning, Automatica 110:108549 (2019)  https://doi.org/10.1016/j.automatica.2019.108549

Conference papers

Farnaz Adib Yaghmaie, Hamidreza Modares, Bahare Kiumarsi,  On the Numerical Solutions to a Certain Sturm-Liouville ODE for Spectral Filtering Applications*, European Control Conference (ECC), European Control Conference (ECC), pp. 69-76, Institute of Electrical and Electronics Engineers (IEEE) (2025)  https://doi.org/10.23919/ecc65951.2025.11186952

Farnaz Adib Yaghmaie, Hamidreza Modares, Bahare Kiumarsi,  On the performance of memory-augmented controllers, 2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, pp. 1183-1189, IEEE (2024)  https://doi.org/10.23919/ECC64448.2024.10590810

Farnaz Adib Yaghmaie, Fredrik Gustafsson,  Using Reinforcement Learning for Model-free Linear Quadratic Control with Process and Measurement Noises, 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE Conference on Decision and Control, pp. 6510-6517, IEEE (2019)  https://doi.org/10.1109/CDC40024.2019.9029904

Farnaz Adib Yaghmaie, Svante Gunnarsson,  A New Result on Robust Adaptive Dynamic Programming for Uncertain Partially Linear Systems, 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE Conference on Decision and Control, pp. 7480-7485, IEEE (2019)  https://doi.org/10.1109/CDC40024.2019.9029695

Preprints

Farnaz Adib Yaghmaie, Arunava Naha,  Convergence of Flow-Policy Gradient Learning for Linear Quadratic Regulator Problems  https://doi.org/10.48550/arXiv.2511.11131  https://arxiv.org/abs/2511.11131