loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Joseph Z. Ben-Asher

Affiliation: Technion, Israel

Keyword(s): Optimal Control, Green’s Function, Gradient Methods, Rockets Trajectories, Function Space.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: The gradient method in function space is revisited and applied to the problem of optimizing the trajectories of aerodynamically maneuvering rockets. The optimization objective may be the maximal range or the minimal control effort for a given range. The method is shown to provide an implementable and fast algorithm for a good approximation to the optimal solution. It does not require any non-linear programming solver, and can be straightforwardly programmed in a flight computer. The method can also be used to provide an initial guess for more precise techniques, thus accelerating the computational process.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.57.9

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ben-Asher, J. (2015). Revisiting Gradient Methods in Function Space - With Application to Rocket Trajectories. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 270-274. DOI: 10.5220/0005562702700274

@conference{icinco15,
author={Joseph Z. Ben{-}Asher.},
title={Revisiting Gradient Methods in Function Space - With Application to Rocket Trajectories},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={270-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005562702700274},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Revisiting Gradient Methods in Function Space - With Application to Rocket Trajectories
SN - 978-989-758-122-9
IS - 2184-2809
AU - Ben-Asher, J.
PY - 2015
SP - 270
EP - 274
DO - 10.5220/0005562702700274
PB - SciTePress