Modeling and Optimization in Space Engineering : State of the Art and New Challenges

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: nbsp;      Next Generation Gravity Missionsnbsp;      Continuous-Thrust Trajectories by Evolutionary Neurocontrolnbsp;      Nonparametric Importance Sampling for Launcher Stage Falloutnbsp;      Dynamic System Control Dispatchnbsp;      Optimal Launch Date of Interplanetary Missionsnbsp;      Optimal Topological Designnbsp;      Evidence-Based Robust Optimizationnbsp;      Interplanetary Trajectory Design by Machine Learningnbsp;      Real-Time Optimal Controlnbsp;      Optimal Finite Thrust Orbital Transfersnbsp;      Planning and Scheduling of Multiple Satellite Missionsnbsp;      Trajectory Performance Analysisnbsp;      Ascent Trajectory and Guidance Optimizationnbsp;       Small Satellite Attitude Determination and Control nbsp;      Optimized Packings in Space Engineeringnbsp;      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.