Modeling and Optimization in Space Engineering

This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas.The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list:         Next Generation Gravity Missions        Continuous-Thrust Trajectories by Evolutionary Neurocontrol        Nonparametric Importance Sampling for Launcher Stage Fallout        Dynamic System Control Dispatch        OptimalLaunch Date of Interplanetary Missions        Optimal Topological Design        Evidence-Based Robust Optimization        Interplanetary Trajectory Design by Machine Learning        Real-Time Optimal Control        Optimal Finite Thrust Orbital Transfers        Planning and Scheduling of Multiple Satellite Missions        Trajectory Performance Analysis        Ascent Trajectory and Guidance Optimization         Small Satellite Attitude Determination and Control        Optimized Packings in Space Engineering        Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.