no code implementations • 13 Mar 2024 • George Nehma, Madhur Tiwari, Manasvi Lingam
We propose a data-driven framework for simultaneous system identification and global linearization of both the Two-Body Problem and Circular Restricted Three-Body Problem via deep learning-based Koopman Theory, i. e., a framework that can identify the underlying dynamics and globally linearize it into a linear time-invariant (LTI) system.
1 code implementation • 8 Sep 2023 • Madhur Tiwari, George Nehma, Bethany Lusch
This work focuses on developing a data-driven framework using Koopman operator theory for system identification and linearization of nonlinear systems for control.
