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Autor(en): 
  • Tao Yang
  • Karl H. Johansson
  • Ziyang Meng
  • Modelling, Analysis, and Control of Networked Dynamical Systems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2022  
    Genre:  Schulbücher 
     
    AdaptiveControlinNetworkedDynamicalSystems / ControlofNetworkedDynamicalSystems / DistributedControlofNetworkedDynamicalSystems / Künstliche Intelligenz (KI) / multi-agentsystems / NetworkedDynamicalSystems / NetworkedSystems
    ISBN:  9783030846848 
    EAN-Code: 
    9783030846848 
    Verlag:  Birkhäuser 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  283 gr 
    Seiten:  180 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems. Expanding on the authors' previous work, this volume highlights how local exchange of information and cooperation among neighboring agents can lead to emergent global behaviors in a given networked dynamical system.
    Divided into four sections, the first part of the book begins with some preliminaries and the general networked dynamical model that is used throughout the rest of the book. The second part focuses on synchronization of networked dynamical systems, synchronization with non-expansive dynamics, periodic solutions of networked dynamical systems, and modulus consensus of cooperative-antagonistic networks. In the third section, the authors solve control problems with input constraint, large delays, and heterogeneous dynamics. The final section of the book is devoted to applications, studying control problems of spacecraft formation ¿ying, multi-robot rendezvous, and energy resource coordination of power networks.
    Modelling, Analysis, and Control of Networked Dynamical Systems will appeal to researchers and graduate students interested in control theory and its applications, particularly those working in networked control systems, multi-agent systems, and cyber-physical systems. This volume can also be used in advanced undergraduate and graduate courses on networked control systems and multi-agent systems.

      



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