Modeling and Optimization in Space Engineering State of the Art and New Challenges - Springer Optimization and Its Applications

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.