Search NASA⌕ Search
Home/Archive/NASA NTRS

NASA NTRS · 20220009377

Numerical Investigation of Flame Propagation for Explosion Risk Modeling Development

Ashley Coates·Scott Lawrence·Donovan Mathias·Brian Cantwell
View original source ↗Export metadata ↓

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

ATAP

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ashley Coates, Scott Lawrence, Donovan Mathias, Brian Cantwell. Numerical Investigation of Flame Propagation for Explosion Risk Modeling Development. https://ntrs.nasa.gov/citations/20220009377

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

NASA NTRSDate not supplied

Autonomous Spacecraft Attitude Control Using Deep Reinforcement Learning

While machine learning and spacecraft autonomy continue to gain research interest, significant work remains to be done in efficiently applying modern machine learning techniques to problems in space ight. This study presents a framework for deriving a discrete neural spacecraft attitude controller using reinforcement learning, a paradigm of machine learning, without the need for high-performance computing. The developed attitude controller is an approximately time-optimal solution to a highly constrained control problem, able to achieve well above industry-standard pointing accuracies. Control examples are also presented of the agent performing large-angle spacecraft slews in the developed simulation environment and future extensions of this work are discussed.

ATAP↗