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 * Optimal Launch 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.
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