Although there is an emerging literature on the topic, this is the first book that attempts to present a systematic theory of estimation and control over communication networks. Using several selected problems of estimation and control over communication networks, the authors present and prove a number of results concerning optimality, stability, and robustness having practical significance for networked control system design. In particular, various problems of Kalman filtering, stabilization, and optimal control over communication channels are considered and solved. The results establish fundamental links among mathematical control theory, Shannon information theory, and entropy theory of dynamical systems.
This essentially self-contained monograph offers accessible mathematical models and results for advanced postgraduate students, researchers, and practitioners working in the areas of control engineering, communications, information theory, signal processing, and applied mathematics.
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Rapid advances in communication technology have created the possibility of large-scale control systems with distribution of control tasks among several processors via communication channels. Such control systems may be distributed over large distances and may use large numbers of actuators and sensors. The possibility of such networked control systems has motivated the development of a new chapter in control theory in which control and communication issues are integrated, and all the limitations of communication channels are considered.
Although there is an emerging literature on this topic, this is the first book that attempts to present a systematic theory of estimation and control over communication networks. Using several selected problems of estimation and control over communication networks, the authors present and prove a number of results concerning optimality, stability, and robustness having practical significance for networked control system design. In particular, various problems of Kalman filtering, stabilization, and optimal control over communication channels are considered and solved. The results establish fundamental links among mathematical control theory, Shannon information theory, and entropy theory of dynamical systems.
Key features and topics of the work:
* Offers accessible but precise development of important mathematical models and results
* Covers estimation and stabilization of both linear and nonlinear systems
* Addresses limited capacity communication channels, noisy discrete channels, systems with disturbances, irregular transmission times, and switched sensors
* Presents state-of-the-art developments and cutting-edge results in the field
This essentially self-contained monograph offers accessible mathematical models and results for advanced postgraduate students, researchers, and practitioners working in the areas of control engineering, communications, information theory, signal processing, and applied mathematics who have an interest in the emerging field of networked control systems.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a systematic theory of estimation and control over communication networks. It develops a theory that utilizes communications, control, information and dynamical systems theory motivated and applied to advanced networking scenarios. The book establishes theoretically rich and practically important connections among modern control theory, Shannon information theory, and entropy theory of dynamical systems originated in the work of Kolmogorov.This self-contained monograph covers the latest achievements in the area. It contains many real-world applications and the presentation is accessible. 552 pp. Englisch. Bestandsnummer des Verkäufers 9780817644949
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book that attempts to present a systematic theory of estimation and control over communication networks, an increasingly active area of researchAddresses a class of problems that is quickly increasing due to the growing use of communication . Bestandsnummer des Verkäufers 5975826
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 552 | Sprache: Englisch | Produktart: Bücher | Although there is an emerging literature on the topic, this is the first book that attempts to present a systematic theory of estimation and control over communication networks. Using several selected problems of estimation and control over communication networks, the authors present and prove a number of results concerning optimality, stability, and robustness having practical significance for networked control system design. In particular, various problems of Kalman filtering, stabilization, and optimal control over communication channels are considered and solved. The results establish fundamental links among mathematical control theory, Shannon information theory, and entropy theory of dynamical systems.This essentially self-contained monograph offers accessible mathematical models and results for advanced postgraduate students, researchers, and practitioners working in the areas of control engineering, communications, information theory, signal processing, and applied mathematics. Bestandsnummer des Verkäufers 3322847/202
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Zustand: New. This book presents a systematic theory of estimation and control over communication networks. The book addresses a class of problems that is quickly increasing due to the growing use of communication networks and large numbers of sensors. Series: Control Engineering. Num Pages: 533 pages, 95 black & white illustrations, 2 black & white tables, biography. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 30. Weight in Grams: 986. . 2008. Hardback. . . . . Bestandsnummer des Verkäufers V9780817644949
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Buch. Zustand: Neu. Estimation and Control over Communication Networks | Alexey S. Matveev (u. a.) | Buch | xiv | Englisch | 2008 | Birkhäuser | EAN 9780817644949 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 102135475
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