Space Engineering: Modeling and Optimization with Case Studies

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.