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.
