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.