000			04274nam a22003975i 4500
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005			20230102113125.0
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008			140721s2015 gw | s |||| 0|eng d
020			_a9783319087115
024	7		_a10.1007/978-3-319-08711-5 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA402 _b2015 EB
100	1		_aHu, Jun. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n86079707 _1http://viaf.org/viaf/29537230/
245	1	0	_aNonlinear Stochastic Systems with Network-Induced Phenomena _bRecursive Filtering and Sliding-Mode Design _cby Jun Hu, Zidong Wang, Huijun Gao.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XV, 223 páginas 79 ilustraciones, 77 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aEngineering (Springer-11647)
505	0		_aRecursive Filtering with Missing Measurements and Quantized Effects -- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated -- Noises -- Probability-Guaranteed H∞ Finite Horizon Filtering with Sensor Saturations -- H∞ Sliding Mode Observer Design for Nonlinear Time-Delay Systems -- Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities -- Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time-Delays.
520	3		_aThis monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: ·        the state-of-the-art of nonlinear filtering and control; ·        recent advances in recursive filtering and sliding mode control; and ·        their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities, and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.
988			_aEBSPRINGER_2018
650		7	_aAnálisis de sistemas _2embne _9138446
700	1		_aWang, Zidong. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/107799906/
700	1		_aGao, Huijun. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2013024874 _1http://viaf.org/viaf/306337902/
776	0	8	_iEdición impresa: _z9783319087122
776	0	8	_iEdición impresa: _z9783319087108
776	0	8	_iEdición impresa: _z9783319359298
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-08711-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _zSI