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

-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.