000			02192nam a22003135i 4500
001			401916
003			DE-He213
005			20240514120032.0
007			cr nn 008mamaa
008			240105s2024 sz | o |||| 0|eng d
020			_a9783031393037
024	7		_a10.1007/978-3-031-39303-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1001-1280 _b2024 EB
050		4	_aHE331-380 _b2024 EB
245	0	0	_aProceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023 _cedited by Dilmurat Azimov
250			_a1st ed. 2024.
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aIUTAM Bookseries _x1875-3493 _v40
505	0		_aGuidance, Navigation and Control, and Sensor Technologies -- Robotic Technologies -- Stochastic Systems and Game Theory -- Optimal Control and Applications -- Modeling and Data Analytics -- Nonlinear Control Systems and Machine Learning.
520			_aThis book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-39303-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c401916 _d401916