| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910157501903321 |
|
|
Titolo |
Space Engineering : Modeling and Optimization with Case Studies / / edited by Giorgio Fasano, János D. Pintér |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2016.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XV, 487 p. 203 illus., 151 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Springer Optimization and Its Applications, , 1931-6828 ; ; 114 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Mathematical optimization |
Computer mathematics |
Mathematical physics |
Applied mathematics |
Engineering mathematics |
Optimization |
Computational Mathematics and Numerical Analysis |
Mathematical Applications in the Physical Sciences |
Applications of Mathematics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Preface -- Model Space Vehicle Design Taking into Account Multidisciplinary Couplings and Mixed Epistemic / Aleatory Uncertainties -- Using Direct Transcription to Compute Optimal Low Thrust Transfers Between Libration Point Orbits -- Practical Tentative Solutions for Indirect Optimization of Spacecraft Trajectories -- Resource-constrained Scheduling with Non-constant Capacity and Non-regular Activities -- Packing Problems in Space Solved by CPLEX: an Experimental Analysis -- Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions -- Satellite Constellation Image Acquisition Problem: A Case Study -- Re-entry Test Vehicle Configuration Selection and Analysis -- Rigorous Global Optimization for Collision Risk Assessment on Perturbed Orbits -- Optimal Robust Design of Hybrid Rocket Engines -- Nonlinear |
|
|
|
|
|
|
|
|
|
|
|
Regression Analysis by Global Optimization: A Case Study in Space Engineering -- Regression-based Sensitivity Analysis and Robust Design -- Low-Thrust Multi-Revolution Orbit Transfers -- Balance Layout Problems: Mathematical Modeling and Nonlinear Optimization -- Pilot-induced-oscillations Alleviation through Anti-Windup Based Approach -- Modeling and Optimization of Hybrid Transfers to NEOs -- Probabilistic Safety Analysis of the Collision Between Space Debris and a Satellite with an Island Particle Algorithm -- Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations. |
|
|
|
|
|
|
Sommario/riassunto |
|
This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools. Space engineering challenges are discussed in the following contexts: •Advanced Space Vehicle Design •Computation of Optimal Low Thrust Transfers •Indirect Optimization of Spacecraft Trajectories •Resource-Constrained Scheduling, •Packing Problems in Space •Design of Complex Interplanetary Trajectories •Satellite Constellation Image Acquisition •Re-entry Test Vehicle Configuration Selection •Collision Risk Assessment on Perturbed Orbits •Optimal Robust Design of Hybrid Rocket Engines •Nonlinear Regression Analysis in Space Engineering< •Regression-Based Sensitivity Analysis and Robust Design •Low-Thrust Multi-Revolution Orbit Transfers •Modeling and Optimization of Balance Layout Problems •Pilot-Induced Oscillations Alleviation •Modeling and Optimization of Hybrid Transfers to Near-Earth Objects •Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite •Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful. . |
|
|
|
|
|
|
|
| |