LEADER 04449nam 2200553 a 450 001 9910438142303321 005 20200520144314.0 010 $a1-4614-7085-4 024 7 $a10.1007/978-1-4614-7085-4 035 $a(OCoLC)846580701 035 $a(MiFhGG)GVRL6WPY 035 $a(CKB)2670000000370539 035 $a(MiAaPQ)EBC1317041 035 $a(EXLCZ)992670000000370539 100 $a20130403d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aStochastic networked control systems $estabilization and optimization under information constraints /$fSerdar Yuksel, Tamer Basar 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (xviii, 482 pages) $cillustrations 225 1 $aSystems & control : foundations & applications,$x2324-9749 300 $a"ISSN: 2324-9749." 300 $a"ISSN: 2324-9757 (electronic)." 311 $a1-4899-9282-0 311 $a1-4614-7084-6 320 $aIncludes bibliographical references and index. 327 $apt. 1. Information structures in networked control -- pt. 2. Stabilization of networked control systems -- pt. 3. Optimization in networked control : design of optimal policies under information constraints. 330 $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. 410 0$aSystems & control. 606 $aStochastic control theory 606 $aStochastic processes 606 $aControl theory 615 0$aStochastic control theory. 615 0$aStochastic processes. 615 0$aControl theory. 676 $a004.650151 700 $aYuksel$b Serdar$00 701 $aBasar$b Tamer$0282101 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438142303321 996 $aStochastic networked control systems$94203735 997 $aUNINA