Modeling and Optimization in Space Engineering

State of the Art and New Challenges

  • Giorgio Fasano
  • János D. Pintér

Part of the Springer Optimization and Its Applications book series (SOIA, volume 144)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Alberto Anselmi, Stefano Cesare, Sabrina Dionisio, Giorgio Fasano, Luca Massotti
    Pages 1-32
  3. Pierre Derennes, Vincent Chabridon, Jérôme Morio, Mathieu Balesdent, Florian Simatos, Jean-Marc Bourinet et al.
    Pages 59-86
  4. Giancarlo Genta, P. Federica Maffione
    Pages 111-140
  5. Sebastián Miguel Giusti, Augusto Alejandro Romero, Javier Eduardo Salomone
    Pages 141-167
  6. Dario Izzo, Christopher Iliffe Sprague, Dharmesh Vijay Tailor
    Pages 191-210
  7. Matthias Knauer, Christof Büskens
    Pages 211-232
  8. Guido Palaia, Marco Pallone, Mauro Pontani, Paolo Teofilatto
    Pages 343-371
  9. Zaure Rakisheva, Anna Sukhenko, Nazgul Kaliyeva
    Pages 373-393
  10. Yuriy Stoyan, Alexandr Pankratov, Tatiana Romanova, Giorgio Fasano, János D. Pintér, Yurij E. Stoian et al.
    Pages 395-437
  11. Yu. Stoyan, I. Grebennik, T. Romanova, A. Kovalenko
    Pages 439-457

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

•       Optimal Launch 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.            


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

  • Giorgio Fasano
    • 1
  • János D. Pintér
    • 2
  1. 1.Thales Alenia SpaceTurinItaly
  2. 2.Department of Industrial and Systems EngineeringLehigh University BethlehemUSA

Bibliographic information