Mohammad Khosravi

Mohammad Khosravi

Mohammad Khosravi

Assistant Professor

Delft University of Technology

Delft Center for Systems and Control

Mekelweg 2, 2628 CD, Delft, The Netherlands

Office: 3mE building, Room C-3-290

Phone: +31 (0)15 27 87563

Email: Mohammad.Khosravi@tudelft.nl

Research Interests:

I am primarily interested in the theoretical and practical aspects of learning & control of linear and nonlinear dynamics. My main focus is on data-driven and learning-based methods for modeling, optimization, model-reduction, and control of dynamical systems, and their applications in thermodynamic systems, energy, buildings, industry, and power plants.

Selected Publications:

Khosravi, M., “Representer Theorem for Learning Koopman Operators”, IEEE Transactions on Automatic Control, 2023.
Khosravi, M., & Smith R.S., “The Existence and Uniqueness of Solutions for Kernel-Based System Identification”, Automatica, 2023.
Khosravi, M., & Smith R.S., “Kernel-Based Identification with Frequency Domain Side-Information”, Automatica, 2023.
Khosravi, M., & Smith, R.S., “Convex Nonparametric Formulation for Identification of Gradient Flows”, IEEE Control Systems Letters, 2021.
Khosravi, M., & Smith, R.S., “Nonlinear System Identification with Prior Knowledge on the Region of Attraction”, IEEE Control Systems Letters, 2021.
Khosravi, M., & Smith, R.S., “Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain”, IEEE Transactions on Automatic Control, 2023.

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