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math.OC2023
Extracting Koopman Operators for Prediction and Control of Non-linear Dynamics Using Two-stage Learning and Oblique Projections
Daisuke Uchida, Karthik Duraisamy
The Koopman operator framework provides a perspective that non-linear dynamics can be described through the lens of linear operators acting on function spaces. As the framework nat…
math.OC2022
Control-aware Learning of Koopman Embedding Models
Daisuke Uchida, Karthik Duraisamy
A learning method is proposed for Koopman operator-based models with the goal of improving closed-loop control behavior. A neural network-based approach is used to discover a space…