000			03714nam a22004695c 4500
988			_aSpringer_Robotics_2020
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008			190730s2020 si a o |||| 0|eng d
020			_a9789811398452
024	7		_a10.1007/978-981-13-9845-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL1075 _b2020 EB
100	1		_aChai, Runqi _eautor _9671748
245	1	0	_aDesign of trajectory optimization approach for space maneuver vehicle skip entry problems _cby Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020
300			_a1 recurso en línea (XVII, 207 páginas) _b84 ilustraciones, 65 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringer Aerospace Technology _x1869-1730
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Overview of Trajectory Optimization Techniques -- Modelling of the Trajectory Optimization Problems -- Performance Analysis of Different Optimization Strategies -- Hybrid Optimization Methods with Enhanced Convergence Ability -- Multi-Objective Trajectory Optimization Problem -- Real-Time Optimal Guidance Strategies for Space Maneuver Vehicles -- Stochastic Trajectory Optimization Problems with Chance Constraints -- Appendix -- References -- Index.
520	3		_aThis book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the book's major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.
650		7	_2embne _9139696 _aVehículos espaciales
650		7	_2embne _aExploración espacial _9150923
650		7	_2embne _aAstronáutica _9138156
700	1		_aSavvaris, Al _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aTsourdos, Antonios _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aChai, Senchun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9789811398445
776	0	8	_iPrinted edition: _z9789811398469
776	0	8	_iPrinted edition: _z9789811398476
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9845-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI