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710	2		_aSpringerLink (Online service) _9106996
999			_c111402 _d111402 _x1
001			111402
003			ES-MaUEC
005			20230102113510.0
008			181120s2019 gw a o |||| 0|eng d
020			_a9783030017972
024	7		_a10.1007/978-3-030-01797-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA402.35 _b2019 EB
100	1		_aChandra, Kumar Pakki Bharani _eautor _9670997
245	1	0	_aNonlinear filtering : _bmethods and applications _cby Kumar Pakki Bharani Chandra, Da-Wei Gu
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XIX, 184 páginas) _b79 ilustraciones, 59 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aLinear and Nonlinear Control Systems -- State Estimation and Prediction -- Linear Estimation Techniques -- Jacobian-Based Filters -- Unscented Kalman Filters -- Cubature Kalman Filters -- Variants of Cubature Kalman Filters -- Robustness Consideration of Filtering Algorithms.
520	3		_aThis book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters, etc. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems. A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods help readers to a fundamental understanding and easier coding of those algorithms; and MATLAB® codes associated with case-study applications can be downloaded from the Springer Extra Materials website.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aSistemas de control no lineal _9666986
650		7	_2embne _aProcesos estocásticos _9405190
650		7	_2embne _9670999 _aKalman, Filtro de
700	1		_aGu, Da-Wei _eautor _9670998
776	0	8	_iPrinted edition: _z9783030017965
776	0	8	_iPrinted edition: _z9783030017989
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-01797-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI