Data-driven discovery of Koopman eigenfunctions for control
Data-driven transformations that reformulate nonlinear systems in a linear framework have
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
Reduced-order modeling for dynamic mode decomposition without an arbitrary sparsity parameter
Dynamic mode decomposition (DMD) yields a linear, approximate model of a system's
dynamics that is built from data. This paper seeks to reduce the order of this model by …
dynamics that is built from data. This paper seeks to reduce the order of this model by …
Background flow sensing for autonomous underwater vehicles using model reduction with dynamic mode decomposition
Autonomous underwater vehicles (AUVs) have received increasing attention among
scientific and engineering societies for their superior performances and promising future in …
scientific and engineering societies for their superior performances and promising future in …
Construction of Nonlinear Dynamic Equations from Data Using Least Angle Regression with an Orthogonalization Step
J Graff, FD Lagor - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-1850. vid Recent progress in
sparse regression has enabled the construction of nonlinear dynamic models from data …
sparse regression has enabled the construction of nonlinear dynamic models from data …
Flow Sensing Based Environmental Perception of Autonomous Underwater Robots
F Dang - 2021 - search.proquest.com
This dissertation investigates the environmental perception of autonomous underwater
robots. Autonomous underwater robots have received increasing attention among scientific …
robots. Autonomous underwater robots have received increasing attention among scientific …