Trajectory Optimisation via Reinforcement Learning

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2021, 2021

620471838X / 9786204718385

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -From the emergence of commercial applications such as on-demand imagery and global internet service to the necessity of satellite servicing and active space debris removal, the level of complexity in mission design has skyrocketed. All these different applications have directed the evolution of the technology toward the need for autonomous spacecraft that can operate independently of human control. As such, artificial intelligence has rapidly emerged as being a promising field allowing greater robotic autonomy and innovative decision making. While new autonomous techniques have enabled faster and larger numbers of spacecraft operations, there is still a valid concern for the safety of the missions during proximity manoeuvres.This Master's thesis investigates the use of the Reinforcement Learning algorithm Proximal Policy Optimization for achieving a planar Autonomous Rendezvous, Proximity Operation, and Docking manoeuvre with an under-actuated CubeSat. Together with the safety considerations, the different control objectives throughout the three phases reflect the complexity necessary for safe and efficient operations. 80 pp. Englisch.

Seller Inventory # 9786204718385

Title
Trajectory Optimisation via Reinforcement Learning
Author
Matthieu Paris
Publisher
LAP LAMBERT Academic Publishing Nov 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620471838X
ISBN 13
9786204718385
Item weight
137 grams
Dimensions
220x150x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany