Space Engineering - Bog

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.