Modeling and optimization in space engineering: state of the art and new challenges
Preface and Acknowledgements -- Control Propellant Minimization for the Next Generation Gravity Mission -- Global Optimization of Continuous-Thrust Trajectories Using Evolutionary Neurocontrol -- Nonparametric Importance Sampling Techniques for Sensitivity Analysis and Reliability Assessment of a La...
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| Weitere Verfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Springer Optimization and Its Applications
volume 144 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Preface and Acknowledgements -- Control Propellant Minimization for the Next Generation Gravity Mission -- Global Optimization of Continuous-Thrust Trajectories Using Evolutionary Neurocontrol -- Nonparametric Importance Sampling Techniques for Sensitivity Analysis and Reliability Assessment of a Launcher Stage Fallout -- Dynamic System Control Dispatch: A Global Optimization Approach -- Choice of the Optimal Launch Date for Interplanetary Missions -- Optimal Topological Design of a Thermal Isolator for a Monopropellant Space Thruster -- Evidence-Based Robust Optimization of Pulsed Laser Orbital Debris Removal under Epistemic Uncertainty -- Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design -- Real-Time Optimal Control using TransWORHP and WORHP Zen -- Theory and Applications of Optimal Finite Thrust Orbital Transfers -- Collection Planning and Scheduling for Multiple Heterogeneous Satellite Missions: Optimization Problem and Mathematical Programming Formulation -- Single-Stage-to-Orbit Space-Plane Trajectory Performance Analysis -- Ascent Trajectory Optimization and Neighboring Optimal Guidance of Multistage Launch Vehicles -- Optimization Issues in the Problem of Small Satellite Attitude Determination and Control -- Optimized Packings in Space Engineering Applications – Part I -- Optimized Packings in Space Engineering Applications – Part II -- A Catalogue of Parametric Time-Optimal Transfers for All-Electric GEO Satellites 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 |
| Beschreibung: | xiv, 478 Seiten Illustrationen |
| ISBN: | 9783030105006 |
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| 520 | 3 | |a Preface and Acknowledgements -- Control Propellant Minimization for the Next Generation Gravity Mission -- Global Optimization of Continuous-Thrust Trajectories Using Evolutionary Neurocontrol -- Nonparametric Importance Sampling Techniques for Sensitivity Analysis and Reliability Assessment of a Launcher Stage Fallout -- Dynamic System Control Dispatch: A Global Optimization Approach -- Choice of the Optimal Launch Date for Interplanetary Missions -- Optimal Topological Design of a Thermal Isolator for a Monopropellant Space Thruster -- Evidence-Based Robust Optimization of Pulsed Laser Orbital Debris Removal under Epistemic Uncertainty -- Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design -- Real-Time Optimal Control using TransWORHP and WORHP Zen -- Theory and Applications of Optimal Finite Thrust Orbital Transfers -- Collection Planning and Scheduling for Multiple Heterogeneous Satellite Missions: Optimization Problem and Mathematical Programming Formulation -- Single-Stage-to-Orbit Space-Plane Trajectory Performance Analysis -- Ascent Trajectory Optimization and Neighboring Optimal Guidance of Multistage Launch Vehicles -- Optimization Issues in the Problem of Small Satellite Attitude Determination and Control -- Optimized Packings in Space Engineering Applications – Part I -- Optimized Packings in Space Engineering Applications – Part II -- A Catalogue of Parametric Time-Optimal Transfers for All-Electric GEO Satellites | |
| 520 | 3 | |a 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 | |
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| spelling | Modeling and optimization in space engineering state of the art and new challenges Giorgio Fasano, János D. Pintér (editors) Cham Springer [2019] xiv, 478 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Springer Optimization and Its Applications volume 144 Preface and Acknowledgements -- Control Propellant Minimization for the Next Generation Gravity Mission -- Global Optimization of Continuous-Thrust Trajectories Using Evolutionary Neurocontrol -- Nonparametric Importance Sampling Techniques for Sensitivity Analysis and Reliability Assessment of a Launcher Stage Fallout -- Dynamic System Control Dispatch: A Global Optimization Approach -- Choice of the Optimal Launch Date for Interplanetary Missions -- Optimal Topological Design of a Thermal Isolator for a Monopropellant Space Thruster -- Evidence-Based Robust Optimization of Pulsed Laser Orbital Debris Removal under Epistemic Uncertainty -- Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design -- Real-Time Optimal Control using TransWORHP and WORHP Zen -- Theory and Applications of Optimal Finite Thrust Orbital Transfers -- Collection Planning and Scheduling for Multiple Heterogeneous Satellite Missions: Optimization Problem and Mathematical Programming Formulation -- Single-Stage-to-Orbit Space-Plane Trajectory Performance Analysis -- Ascent Trajectory Optimization and Neighboring Optimal Guidance of Multistage Launch Vehicles -- Optimization Issues in the Problem of Small Satellite Attitude Determination and Control -- Optimized Packings in Space Engineering Applications – Part I -- Optimized Packings in Space Engineering Applications – Part II -- A Catalogue of Parametric Time-Optimal Transfers for All-Electric GEO Satellites 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 Raumfahrttechnik (DE-588)4177061-4 gnd rswk-swf Fallstudie (DE-588)4124897-1 gnd rswk-swf Variationsrechnung (DE-588)4062355-5 gnd rswk-swf Mathematical optimization Astronautics Computer science Differentiable dynamical systems Mechanics, applied Calculus of Variations and Optimal Control; Optimization (DE-588)4143413-4 Aufsatzsammlung gnd-content Raumfahrttechnik (DE-588)4177061-4 s Fallstudie (DE-588)4124897-1 s Variationsrechnung (DE-588)4062355-5 s DE-604 Fasano, Giorgio (DE-588)1191199665 edt Pintér, János D. (DE-588)1192712978 edt 9783030105013 eBook Erscheint auch als Online-Ausgabe Modeling and optimization in space engineering Cham : Springer, 2019 1 Online-Ressource (XIV, 478 Seiten) 9783030105013 B:DE-89 V:DE-601 pdf/application https://www.gbv.de/dms/tib-ub-hannover/1669604942.pdf 2019-12-13 Inhaltsverzeichnis |
| spellingShingle | Modeling and optimization in space engineering state of the art and new challenges Raumfahrttechnik (DE-588)4177061-4 gnd Fallstudie (DE-588)4124897-1 gnd Variationsrechnung (DE-588)4062355-5 gnd |
| subject_GND | (DE-588)4177061-4 (DE-588)4124897-1 (DE-588)4062355-5 (DE-588)4143413-4 |
| title | Modeling and optimization in space engineering state of the art and new challenges |
| title_auth | Modeling and optimization in space engineering state of the art and new challenges |
| title_exact_search | Modeling and optimization in space engineering state of the art and new challenges |
| title_exact_search_txtP | Modeling and optimization in space engineering state of the art and new challenges |
| title_full | Modeling and optimization in space engineering state of the art and new challenges Giorgio Fasano, János D. Pintér (editors) |
| title_fullStr | Modeling and optimization in space engineering state of the art and new challenges Giorgio Fasano, János D. Pintér (editors) |
| title_full_unstemmed | Modeling and optimization in space engineering state of the art and new challenges Giorgio Fasano, János D. Pintér (editors) |
| title_short | Modeling and optimization in space engineering |
| title_sort | modeling and optimization in space engineering state of the art and new challenges |
| title_sub | state of the art and new challenges |
| topic | Raumfahrttechnik (DE-588)4177061-4 gnd Fallstudie (DE-588)4124897-1 gnd Variationsrechnung (DE-588)4062355-5 gnd |
| topic_facet | Raumfahrttechnik Fallstudie Variationsrechnung Aufsatzsammlung |
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