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Modeling and Optimization in Space Engineering

  • Giorgio Fasano
  • János D. Pintér

Part of the Springer Optimization and Its Applications book series (SOIA, volume 73)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Josep Boada, Christophe Prieur, Sophie Tarbouriech, Christelle Pittet, Catherine Charbonnel
    Pages 61-83
  3. Christof Büskens, Dennis Wassel
    Pages 85-110
  4. Andrea Cassioli, Dario Izzo, David Di Lorenzo, Marco Locatelli, Fabio Schoen
    Pages 111-140
  5. Guido Colasurdo, Lorenzo Casalino
    Pages 141-158
  6. Pierluigi Di Lizia, Roberto Armellin, Francesco Topputo, Franco Bernelli-Zazzera, Martin Berz
    Pages 187-213
  7. Leonardo Junqueira, Reinaldo Morabito, Denise Sato Yamashita, Horacio Hideki Yanasse
    Pages 271-293
  8. Dario Pastrone, Lorenzo Casalino
    Pages 343-362
  9. Francesco Topputo, Edward Belbruno
    Pages 389-404

About this book

Introduction

This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization.

The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems – including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space maneuvers, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization – are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations.

Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges.

Keywords

Control Global optimization Large-scale mathematical optimization Mixed integer linear/nonlinear programming Nonlinear programming Optimal control theory Space engineering optimization Trajectory optimization

Editors and affiliations

  • Giorgio Fasano
    • 1
  • János D. Pintér
    • 2
  1. 1.Thales Alenia Space SpATurinItaly
  2. 2.HalifaxCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4469-5
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-4468-8
  • Online ISBN 978-1-4614-4469-5
  • Series Print ISSN 1931-6828
  • Buy this book on publisher's site
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