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001			290377
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007			cr nn 008mamaa
008			150903s2013 xxu| o |||| 0|eng d
020			_a9781461470854 _99781461470854
024	7		_a10.1007/9781461470854 _2doi
035			_avtls000342099
039		9	_a201509030847 _bVLOAD _c201405050238 _dVLOAD _y201402061117 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ350-390
100	1		_aYüksel, Serdar. _eautor _9321069
245	1	0	_aStochastic Networked Control Systems : _bStabilization and Optimization under Information Constraints / _cby Serdar Yüksel, Tamer Ba?ar.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Birkhäuser, _c2013.
300			_axviii, 482 páginas 40 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSystems & Control: Foundations & Applications, _x2324-9749
500			_aSpringer eBooks
505	0		_aIntroduction -- Part I Information Structures in Networked Control -- Networked Control Systems as Stochastic Team Decision Problems: A General Introduction -- Characterization and Comparison of Information Structures -- Topological Properties of Information Structures: Comparison, Convergence and Optimization -- Part II Stabilization of Networked Control Systems -- Coding for Control and Connections with Information Theory -- Stochastic Stability and Drift Criteria for Markov Chains in Networked Control -- Stochastic Stabilization over Noiseless Channels -- Stochastic Stabilization over Noisy Channels -- Stabilization of Decentralized Systems over Communication Channels -- Part III Optimization in Networked Control: Design of Optimal Policies under Information Constraints -- Optimization of Real-Time Coding and Control Policies: Structural and Existence Results -- Optimal Coding and Control for Linear Gaussian Systems over Gaussian Channels under Quadratic Cost -- Agreement in Teams and the Dynamic Programming Approach under Information Constraints -- A Topological Notions and Optimization -- B Probability Theory and Stochastic Processes -- C Markov Chains, Martingales and Ergodic Processes -- D Markov Decision Theory and Optimality of Markov Policies -- References -- Index.
520			_aNetworked control systems are increasingly ubiquitous today, with applications ranging from vehicle communication and adaptive power grids to space exploration and economics. The optimal design of such systems presents major challenges, requiring tools from various disciplines within applied mathematics such as decentralized control, stochastic control, information theory, and quantization.  A thorough, self-contained book, Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints aims to connect these diverse disciplines with precision and rigor, while conveying design guidelines to controller architects. Unique in the literature, it lays a comprehensive theoretical foundation for the study of networked control systems, and introduces an array of concrete tools for work in the field.  Salient features include:  ·         Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems.   ·         Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods.   ·         Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems.  ·         Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models.  ·         Decentralized agreement and dynamic optimization under information constraints.  This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aBa?ar, Tamer. _eautor _9306052
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461470847
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-7085-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c290377 _d290377