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008			191125s2020 gw a o |||| 0|eng d
020			_a9783030347352
024	7		_a10.1007/978-3-030-34735-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.76.I58 _b2020 EB
100	1		_aTkach, Itshak _eautor _9672563
245	1	0	_aDistributed Heterogeneous Multi Sensor Task Allocation Systems _cby Itshak Tkach, Yael Edan.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XV, 139 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAutomation Collaboration & E-Services _x2193-472X _v7
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Multi-agent task allocation -- Multi-Sensor task allocation systems -- Evaluation methodology -- Single-layer multi-sensor task allocation system -- Extended examples of single-layer multi-sensor systems -- Dual-layer multi-sensor task allocation system -- Extended example of dual-layer multi-sensor task allocation systems -- Fault tolerant multi sensor system with high availability -- Analytical analysis of a simplified scenario of two sensors and two tasks.
520	3		_aToday's real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses the advances in multi-agent systems and AI along with collaborative control theory and tools. Further, it examines the formulation and development of an allocation framework for heterogeneous multi-sensor systems for various real-world problems that require sensors with different performances to allocate multiple tasks, with unknown a priori priorities that arrive at unknown locations at unknown time. It demonstrates how to decide which sensor to allocate to which tasks when and where. Lastly, it explains the reliability and availability issues of task allocation systems, and includes methods for their optimization. The presented methods are explained, measured, and evaluated by extensive simulations, and the results of these simulations are presented in this book. This book is an ideal resource for academics, researchers and graduate students as well as engineers and professionals and is relevant for various applications such as sensor network design, multi-agent systems, task allocation, target detection, and team formation.
988			_aPrimersemestre_2020_Robotics
650		7	_2embne _aAgentes inteligentes (Programas de ordenador) _9160930
700	1		_aEdan, Yael _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030347345
776	0	8	_iPrinted edition: _z9783030347369
776	0	8	_iPrinted edition: _z9783030347376
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34735-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ek _zSI