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.