Modeling and Optimization in Space Engineering New Concepts and Approaches /

This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications. This book will be of interest to researchers and practitioners working in the field o...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Fasano, Giorgio (Засварлагч), Pintér, János D. (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer International Publishing : Imprint: Springer, 2023.
Хэвлэл:1st ed. 2023.
Цуврал:Springer Optimization and Its Applications, 200
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/978-3-031-24812-2
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

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245 1 0 |a Modeling and Optimization in Space Engineering  |h [electronic resource] :  |b New Concepts and Approaches /  |c edited by Giorgio Fasano, János D. Pintér. 
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490 1 |a Springer Optimization and Its Applications,  |x 1931-6836 ;  |v 200 
505 0 |a Advances in the Control Propellant Minimization for the Next Generation Gravity Mission (A. Anselmi ) -- Transition of Two-dimensional Quasi-periodic Invariant Tori in the Real-ephemeris Model of the Earth-Moon System (N. Baresi) -- Hypersonic Point-to-Point Travel for the Common Man (E. Mooij) -- Bifocal Metrology Applications in Space Engineering (F. Bresciani) -- A Revisited Analysis of the Radioisotope Sail and its Possible Application to Relativistic Spaceflight (L. Derosa) -- The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats (G. Di Domenico) -- Data Reduction for Optimizing the Attitude Control Dispatch in a Spacecraft (C. Durand) -- Second Order Sufficient Conditions of Strong Minimality with applications to Orbital Transfers (L. Mazzini) -- Evolutionary Optimisation of a Flexible-Launcher Simple Adaptive Control System (E. Mooij) -- Optimization and Solution Approaches in Utilizing Wireless Sensor Networks for Exploring Moon Planets and Space (O. Ozkan) -- Near-Optimal Guidance and Pulse-Modulated Reduced Attitude Control for Orbit Injection (M. Pontani) -- A Pareto front numerical reconstruction strategy applied to a satellite system conceptual design (M. Sebastián) -- Indirect optimization of robust orbit transfer considering thruster underperformance (F. Simeoni) -- Time-Varying Lyapunov Control Laws with Enhanced Estimation of Distribution Algorithm for Low-Thrust Trajectory Design (R. Armellin). 
520 |a This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications. This book will be of interest to researchers and practitioners working in the field of space engineering. Since it offers an in-depth exposition of the mathematical modelling, algorithmic and numerical solution aspects of the topics covered, the book will also be useful to aerospace engineering graduates and post-graduate students who wish to expand their knowledge by studying real-world applications and challenges that they will encounter in their profession. Readers will obtain a broad overview of some of the most challenging space engineering operational scenarios of today and tomorrow: this will be useful for managers in the aerospace field, as well as in other industrial sectors. The contributed chapters are mainly focused on space engineering practice. Researchers andpractitioners in mathematical systems modelling, operations research, optimization, and optimal control will also benefit from the case studies presented in this book. The model development and optimization approaches discussed can be extended towards other application areas that are not directly related to space engineering. Therefore, the book can be a useful reference to assist in the development of new modelling and optimization applications. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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650 0 |a Mathematical optimization. 
650 0 |a Calculus of variations. 
650 0 |a Aerospace engineering. 
650 0 |a Astronautics. 
650 0 |a Artificial intelligence. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Dynamical systems. 
650 1 4 |a Calculus of Variations and Optimization. 
650 2 4 |a Aerospace Technology and Astronautics. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Dynamical Systems. 
700 1 |a Fasano, Giorgio.  |e editor.  |0 (orcid)0009-0000-6362-7925  |1 https://orcid.org/0009-0000-6362-7925  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pintér, János D.  |e editor.  |0 (orcid)0000-0003-4909-7619  |1 https://orcid.org/0000-0003-4909-7619  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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