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.
"synopsis" may belong to another edition of this title.
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.
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 LaunchDate 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.
"About this title" may belong to another edition of this title.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 492 | Sprache: Englisch | Produktart: Bücher | 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: ż Next Generation Gravity Missionsż Continuous-Thrust Trajectories by Evolutionary Neurocontrolż Nonparametric Importance Sampling for Launcher Stage Falloutż Dynamic System Control Dispatchż OptimalLaunch Date of Interplanetary Missionsż Optimal Topological Designż Evidence-Based Robust Optimizationż Interplanetary Trajectory Design by Machine Learningż Real-Time Optimal Controlż Optimal Finite Thrust Orbital Transfersż Planning and Scheduling of Multiple Satellite Missionsż Trajectory Performance Analysisż Ascent Trajectory and Guidance Optimizationż Small Satellite Attitude Determination and Control ż Optimized Packings in Space Engineeringż 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. Seller Inventory # 33287796/2
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 SatellitesResearchers 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. 492 pp. Englisch. Seller Inventory # 9783030105006
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents mathematical modeling and algorithmic aspects of space engineering applicationsFeatures case studies of real-world aerospace engineering problems Broadens understanding of current research trends a. Seller Inventory # 257454851
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