Modeling and Optimization in Space Engineering: State of the Art and New Challenges: 144 - Rilegato

Libro 136 di 176: Springer Optimization and Its Applications
 
9783030105006: Modeling and Optimization in Space Engineering: State of the Art and New Challenges: 144

Sinossi

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.            

 


Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Giorgio Fasano is a researcher and practitioner at Thales Alenia Space, with more than three decades of experience in the field of optimization and space engineering applications. He is a Fellow of the Institute of Mathematics and its Applications (IMA, UK), with the designations of Chartered Mathematician (IMA, UK), as well as Chartered Scientist (Science Council, UK). 

János D. Pintér is a researcher and practitioner with over four decades of experience in the broad area of systems modeling, analytics, and optimization, with an emphasis on algorithm and software development for nonlinear optimization.Dr. Pintér is the principal developer of nonlinear optimization software products linked to modeling platforms. In 2016 he joined the Department of Industrial and Systems Engineering at Lehigh University, where he teaches a range of operations research topics.  



Dalla quarta di copertina

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.            


Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783030105020: Modeling and Optimization in Space Engineering: State of the Art and New Challenges

Edizione in evidenza

ISBN 10:  3030105024 ISBN 13:  9783030105020
Casa editrice: Springer, 2019
Brossura