all AI news
Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
March 15, 2024, 4:42 a.m. | George Nehma, Madhur Tiwari, Manasvi Lingam
cs.LG updates on arXiv.org arxiv.org
Abstract: The study of the Two-Body and Circular Restricted Three-Body Problems in the field of aerospace engineering and sciences is deeply important because they help describe the motion of both celestial and artificial satellites. With the growing demand for satellites and satellite formation flying, fast and efficient control of these systems is becoming ever more important. Global linearization of these systems allows engineers to employ methods of control in order to achieve these desired results. We …
abstract aerospace artificial arxiv astro-ph.ep celestial cs.lg deep learning demand dynamics engineering identification linearization math.mp math-ph physics.space-ph satellite satellites study theory type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US