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001 290377
003 MX-SnUAN
005 20170705134221.0
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)
942 _c14
999 _c290377
_d290377