Overview
- Features new theoretical and application-oriented results in mathematical modeling, optimization, and optimal control
- Provides insights to layout problems, optimization of hybrid transfers, interplanetary trajectories and low-thrust propulsion
- Contains contributions from leading international researchers
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 114)
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Keywords
- Balancing
- Cargo accommodation
- Collision risk assessment
- Debris-satellite collision
- Design of experiment (doe)
- Differential flatness theory
- Direct collocation transcription
- Epistemic/aleatory uncertainties
- Failure detection
- Global optimization (go)
- Heuristics/meta-heuristics
- Hybrid rocket engines
- Image acquisition
- Indirect optimization
- Large-scale problems
- Low thrust/energy transfers
- Mathematical modeling
- Mixed integer nonlinear models (minlp)
- Multidisciplinary design optimization (mdo)
- Near earth objects (neo)
About this book
This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools.
Space engineering challenges are discussed in the following contexts:
•Advanced Space Vehicle Design
•Computation of Optimal Low Thrust Transfers
•Indirect Optimization of Spacecraft Trajectories
•Resource-Constrained Scheduling,
•Packing Problems in Space
•Design of Complex Interplanetary Trajectories
•Satellite Constellation Image Acquisition
•Re-entry Test Vehicle Configuration Selection
•Collision Risk Assessment on Perturbed Orbits
•Optimal Robust Design of Hybrid Rocket Engines
•Nonlinear Regression Analysis in Space Engineering
•Regression-Based Sensitivity Analysis and Robust Design
•Low-Thrust Multi-Revolution Orbit Transfers•Modeling and Optimization of Balance Layout Problems
•Pilot-Induced Oscillations Alleviation
•Modeling and Optimization of Hybrid Transfers to Near-Earth Objects
•Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite
•Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations
The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful.
Editors and Affiliations
About the editors
Giorgio Fasano is a researcher and practitioner at Thales Alenia Space, with three decades of experience in the field of optimization and space engineering applications. He holds a MSc degree in Mathematics, and he is a Fellow of the Institute of Mathematics and its Applications (IMA, UK), with the designations of Chartered Mathematician (IMA, UK) and Chartered Scientist (Science Council, UK). His interests include mathematical modelling, operations research, mixed integer programming, global optimization, and optimal control. He is the author of Solving Non-standard Packing Problems by Global Optimization and Heuristics (Springer, 2014), and a co-editor of Operations Research in Space and Air (Ciriani et al., Kluwer Academic Publishers, 2003), as well as co-editor with Pintér of two other volumes, see below. He also wrote a number of other publications related to optimization in space.
János D. Pintér is a researcher and practitioner with over four decades of experience in the area of systems modeling, analytics, and optimization, with an emphasis on algorithm and software development for nonlinear optimization. He holds MSc, PhD and DSc degrees in Mathematics. He has authored and edited 10 books (so far) including the award-winning monograph Global Optimization in Action. He also wrote nearly 200 peer-reviewed journal articles, book chapters, and other research documents. Dr. Pintér is (or has been) a member and officer of professional organizations including CORS, EUROPT, HORS, INFORMS; and he serves / served on the editorial board of international professional journals including the Journal of Global Optimization. Dr. Pintér is the principal developer or co-developer of a range of nonlinear optimization software products. These products are used worldwide by researchers and practitioners in academia, and at business and research organizations. He also offers optimization courses (as well as a range of other university or professional training courses) on demand. For more information, please visit www.pinterconsulting.com.
Bibliographic Information
Book Title: Space Engineering
Book Subtitle: Modeling and Optimization with Case Studies
Editors: Giorgio Fasano, János D. Pintér
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-41508-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-41506-2Published: 09 January 2017
Softcover ISBN: 978-3-319-82370-6Published: 07 July 2018
eBook ISBN: 978-3-319-41508-6Published: 31 December 2016
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 487
Number of Illustrations: 52 b/w illustrations, 151 illustrations in colour
Topics: Optimization, Computational Mathematics and Numerical Analysis, Mathematical Applications in the Physical Sciences, Applications of Mathematics