Isbn: 9789819709281 - iterative learning control for network systems under constrained information communication (intelligent control and learning systems, band 12) (2 Ergebnisse)

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    • Sprache: Englisch

      Verlag: Springer, 2025

      9819709288 / 9789819709281

      • Softcover

      Anbieter: preigu, Osnabrück, Deutschlandpreigu

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      Taschenbuch. Zustand: Neu. Iterative Learning Control for Network Systems Under Constrained Information Communication | Wenjun Xiong (u. a.) | Taschenbuch | Intelligent Control and Learning Systems | xi | Englisch | 2025 | Springer | EAN 9789819709281 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Sprache: Englisch

      Verlag: Springer, 2025

      9819709288 / 9789819709281

      • Softcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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      Zustand: Neu

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      Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, consistency, and security of networked systems. The field of networked systems has garnered significant interest from scientists and engineers across various disciplines, including information, electrical, transportation, life, social, and management sciences. This book consistently addresses a wide range of issues related to networked systems, emphasizing the critical impact of communication constraints on stability and security. It highlights the effectiveness and importance of iterative learning methods in tackling these challenges.Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book alsoserves as a valuable resource for university faculty and engineers engaged in complex systems, control theory research, and real-world applications. Its broad appeal extends to professionals working in related fields, seeking a deeper understanding of networked systems and their control mechanisms.