Código QR (código de barras bidimensional)

Reinforcement Learning-Driven Framework for High-Precision Target Tracking in Radio Astronomy

Radio astronomy requires precise target localization and tracking to ensure accurate observations. Conventional regulation methodologies, encompassing PID controllers, frequently encounter difficulties due to orientation inaccuracies precipitated by mechanical limitations, environmental fluctuations...

ver descrição completa

Na minha lista:
Principais autores: Tanawit Sahavisit, Popphon Laon, Supavee Pourbunthidkul, Pattharin Wichittrakarn, Pattarapong Phasukkit, Nongluck Houngkamhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Galaxies
Assuntos:
reinforcement learning
radio astronomy
surveys
time domain
target tracking
radio telescope control
Acesso em linha:https://www.mdpi.com/2075-4434/13/6/124
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados