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Autor(en): 
  • Daniel W. C. Ho
  • Wenjun Xiong
  • Zijian Luo
  • Iterative Learning Control for Network Systems Under Constrained Information Communication 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Computernetzwerke und maschinelle Kommunikation / Consensustracking / Constrainedinformationcommunication / Event-TriggeredTransmissionStrategy / Iterativelearningcontrol / Künstliche Intelligenz (KI) / networksystem / packetlosses
    ISBN:  9789819709250 
    EAN-Code: 
    9789819709250 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 19 mm 
    Gewicht:  524 gr 
    Seiten:  236 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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