000			03561nam a22004095i 4500
999			_c102427 _d102427
001			102427
003			DE-He213
005			20230102113041.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			170816s2018 gw | s |||| 0|eng d
020			_a9783319656144
024	7		_a10.1007/978-3-319-65614-4 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK1005 _b.L466 2018 EB
100	1		_aLeong, Alex S. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aOptimal Control of Energy Resources for State Estimation Over Wireless Channels _cby Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VII, 125 páginas 38 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Control, Automation and Robotics, _x2192-6786
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction. - Optimal Power Allocation for Kalman Filtering over Fading Channels -- Optimal Transmission Scheduling for Event-Triggered Estimation -- Optimal Transmission Strategies for Remote State Estimation -- Remote State Estimation in Multi-Hop Networks -- Conclusion.
520	3		_aThis brief introduces wireless communications ideas and techniques into the study of networked control systems. It focuses on state estimation problems in which sensor measurements (or related quantities) are transmitted over wireless links to a central observer. Wireless communications techniques are used for energy resource management in order to improve the performance of the estimator when transmission occurs over packet dropping links, taking energy use into account explicitly in Kalman filtering and control. The brief allows a reduction in the conservatism of control designs by taking advantage of the assumed. The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largely focused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. Researchers and graduate students studying networked control systems will find this brief a helpful source of new ideas and research approaches.
988			_aEBSPRINGER_2018
650		7	_2embne _9168909 _aEnergía eléctrica _xProducción
700	1		_aQuevedo, Daniel E. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/75893116/
700	1		_aDey, Subhrakanti. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319656137
776	0	8	_iEdición impresa: _z9783319656151
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-65614-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE