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710	2		_aSpringerLink (Online service) _9106996
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008			181024s2019 gw a o |||| 0|eng d
020			_a9783030001575
024	7		_a10.1007/978-3-030-00157-5 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5102.9 _b2019 EB
100	1		_aLiu, Qinyuan _eautor _9670893
245	1	0	_aStochastic control and filtering over constrained communication networks _cby Qinyuan Liu, Zidong Wang, Xiao He
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XVII, 222 páginas) _b51 ilustraciones, 39 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v178
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Fundamental Limitations of Networked Systems over Fading Channels -- Event-based H∞ Consensus Control of Multi-agent Systems -- Event-Triggered Resilient Filtering with Measurement Quantization -- Event-based Distributed Filtering of Continuous-time Nonlinear Systems -- Event-based Distributed Filtering over Markovian Switching Topologies -- Event-based Recursive Distributed Filtering -- A Resilient Approach to Distributed Recursive Filter Design -- Consensus-based Recursive Distributed Filtering -- On Kalman-Consensus Filtering with Random Link Failures -- Moving-Horizon Estimation with Binary Encoding Schemes -- Conclusion and Further Work.
520	3		_aStochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book's new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aProceso de señales _9150608
650		7	_2embne _aRedes informáticas _9141354
650		7	_2embne _aProcesos estocásticos _9405190
700	1		_aWang, Zidong, _eautor _9670894 _d1966-
700	1		_aHe, Xiao _eautor _9670895
776	0	8	_iPrinted edition: _z9783030001568
776	0	8	_iPrinted edition: _z9783030001582
776	0	8	_iPrinted edition: _z9783030130862
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-00157-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI