Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
Accurate modeling and control of autonomous vehicles remain a fundamental challenge due to the nonlinear and coupled nature of vehicle dynamics. While Koopman operator theory offers a framework for deploying powerful linear control techniques, learning a
Mohammad Abtahi +3 more
doaj +1 more source
Nonparametric Sparse Online Learning of the Koopman Operator
This work was intended as a replacement of arXiv:2405.07432 and any subsequent updates will appear ...
Hou, Boya +4 more
openaire +3 more sources
Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. [PDF]
Zhou Z, Dan T, Wu G.
europepmc +1 more source
A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases. [PDF]
Mezić I +8 more
europepmc +1 more source
Online real-time learning of dynamical systems from noisy streaming data. [PDF]
Sinha S +2 more
europepmc +1 more source
Koopman-von Neumann and Weyl-Wigner Phase-Space Formulation of Inviscid Euler Flows. [PDF]
Molnar SM, Godfrey JR.
europepmc +1 more source
Intermittent Two-Point Dynamics at the Transition to Chaos for Random Circle Endomorphisms. [PDF]
Goverse VPH, Homburg AJ, Lamb JSW.
europepmc +1 more source
Kernel-DMD for multiome data integration and control. [PDF]
Pierides I +3 more
europepmc +1 more source
An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]
Wu Y, Kawahara Y.
europepmc +1 more source
Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks. [PDF]
Gao ML, Williams JP, Kutz JN.
europepmc +1 more source

