Editors:
- Presents mathematical modeling and algorithmic aspects of space engineering applications
- Features case studies of real-world aerospace engineering problems
- Broadens understanding of current research trends and challenges in space engineering
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 144)
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Table of contents (17 chapters)
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Front Matter
About this book
This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas.
The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list:
• Next Generation Gravity Missions
• Continuous-Thrust Trajectories by Evolutionary Neurocontrol
• Nonparametric Importance Sampling for Launcher Stage Fallout
• Dynamic System Control Dispatch• OptimalLaunch Date of Interplanetary Missions
• Optimal Topological Design• Evidence-Based Robust Optimization
• Interplanetary Trajectory Design by Machine Learning
• Real-Time Optimal Control
• Optimal Finite Thrust Orbital Transfers
• Planning and Scheduling of Multiple Satellite Missions• Trajectory Performance Analysis
• Ascent Trajectory and Guidance Optimization• Small Satellite Attitude Determination and Control
• Optimized Packings in Space Engineering• Time-Optimal Transfers of All-Electric GEO Satellites
Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.
Keywords
- space logistics
- interplanetary exploration bases
- lunar rover path optimization
- trajectory optimization
- space engineering
- constellation optimization
- flexible systems in space
- Multi-objective optimization and robust design
- Hybrid propulsion transfers
- Direct and indirect control applications
- mixed epistemic-aleatory uncertainties
- Control Propellant Minimization
- Continuous-Thrust Trajectories
- Global Optimization
- Sampling Techniques
- Dynamic System Control Dispatch
- Optimal Topological Design
- Monopropellant Space Thruster
- TransWORHP
- WORHP Zen
Editors and Affiliations
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Thales Alenia Space, Turin, Italy
Giorgio Fasano
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Department of Industrial and Systems Engineering, Lehigh University , Bethlehem, USA
János D. Pintér
About the editors
Giorgio Fasano is a researcher and practitioner at Thales Alenia Space, with more than three decades of experience in the field of optimization and space engineering applications. He is a Fellow of the Institute of Mathematics and its Applications (IMA, UK), with the designations of Chartered Mathematician (IMA, UK), as well as Chartered Scientist (Science Council, UK).
János D. Pintér is a researcher and practitioner with over four decades of experience in the broad area of systems modeling, analytics, and optimization, with an emphasis on algorithm and software development for nonlinear optimization.Dr. Pintér is the principal developer of nonlinear optimization software products linked to modeling platforms. In 2016 he joined the Department of Industrial and Systems Engineering at Lehigh University, where he teaches a range of operations research topics.
Bibliographic Information
Book Title: Modeling and Optimization in Space Engineering
Book Subtitle: State of the Art and New Challenges
Editors: Giorgio Fasano, János D. Pintér
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-10501-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-10500-6Published: 22 May 2019
eBook ISBN: 978-3-030-10501-3Published: 10 May 2019
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIV, 478
Number of Illustrations: 69 b/w illustrations, 135 illustrations in colour
Topics: Calculus of Variations and Optimal Control; Optimization, Aerospace Technology and Astronautics, Programming Techniques, Dynamical Systems and Ergodic Theory, Theoretical and Applied Mechanics, Operations Research, Management Science