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.
