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:

-       Next Generation Gravity Missions

-       Continuous-Thrust Trajectories by Evolutionary Neurocontrol

-       Nonparametric Importance Sampling for Launcher Stage Fallout

-       Optimal Launch Date of Interplanetary Missions

-       Evidence-Based Robust Optimization

-       Interplanetary Trajectory Design by Machine Learning

-       Real-Time Optimal Control

-       Optimal Finite Thrust Orbital Transfers

-       Trajectory Performance Analysis

-        Small Satellite Attitude Determination and Control

-       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.