000			04333nam a22004695i 4500
999			_c381626 _d381626
001			381626
003			ES-MaUEC
005			20230102121906.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			220730s2022 sz | s |||| 0|eng d
020			_a9783030970758
024	7		_a10.1007/978-3-030-97075-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.3 _b2022 EB
100	1		_aHan, Fei _eautor _0(orcid)0000-0003-2107-7448 _1https://orcid.org/0000-0003-2107-7448 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684602
245	1	0	_aDistributed Filtering, Control and Synchronization : _bLocal Performance Analysis Methods _cby Fei Han, Zidong Wang, Hongli Dong
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVI, 223 páginas) _b50 ilustraciones, 49 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v428
505	0		_aIntroduction -- Distributed H-infinity Filtering for Discrete-Time Piecewise Linear Systems -- Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- Partial-Nodes-Based Scalable H-infinity-Consensus Filtering with Censored Measurements -- Distributed H-infinity-Consensus Filtering over Sensor Networks under Deception Attacks -- Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- Finite-Horizon H-infinity-Consensus Control for Multi-Agent Systems with Random Parameters -- Bounded H-infinity Synchronization and H-infinity Filtering for Discrete-Time Complex Networks.
520			_aThis book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. Distributed Filtering, Control and Synchronization is a timely reflection on methods designed to handle a series of control and signal-processing issues in modern industrial engineering practice in areas like power grids and environmental monitoring. It exploits the latest techniques to handle the emerging mathematical and computational challenges arising from, among other things, the dynamic topologies of distributed systems and in the context of sensor networks and multi-agent systems. These techniques include recursive linear matrix inequalities, local-performance and stochastic analyses and techniques based on matrix theory. Readers interested in the theory and application of control and signal processing will find much to interest them in the new models and methods presented in this book. Academic researchers can find ideas for developing their own research, graduate and advanced undergraduate students will be made aware of the state of the art, and practicing engineers will find methods for addressing practical difficulties besetting modern networked systems.
988			_aSpringer_Robotics_2022
650		7	_2embne _9145606 _aControl, Teoría de
650		7	_2embne _9150608 _aProceso de señales
700	1		_aWang, Zidong, _eautor _0(orcid)0000-0002-9576-7401 _1https://orcid.org/0000-0002-9576-7401 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9670894 _d1966-
700	1		_aDong, Hongli, _eautor _0(orcid)0000-0001-8531-6757 _1https://orcid.org/0000-0001-8531-6757 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684604 _d1977-
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030970741
776	0	8	_iPrinted edition: _z9783030970765
776	0	8	_iPrinted edition: _z9783030970772
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97075-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _eIG _zSI