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Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications)

Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications)

Modelling, Analysis, and Control of Networked Dynamical Systems (Systems &
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Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications) Papeback - 2021

by Karl H. Johansson

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Springer , 1st ed. 2021 edition NO-PA16APR2015-KAP. Papeback. New.
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Details

  • Title Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications)
  • Author Karl H. Johansson
  • Binding Papeback
  • Condition New
  • Pages 165
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1st ed. 2021 edition NO-PA1
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6396286664
  • ISBN 9783030846848 / 3030846849
  • Weight 0.57 lbs (0.26 kg)
  • Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
  • Category Science
  • Quantity available 1

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Reader reviews for Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications)

From the publisher

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 flying, 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.

From the rear cover

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 flying, 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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