Klappentext

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.