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.
