Modeling and optimization in space engineering : state of the art and new challenges
著者
書誌事項
Modeling and optimization in space engineering : state of the art and new challenges
（Springer optimization and its applications, v. 144）
Springer, c2019
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
「Nielsen BookData」 より
