Details

Modelling, Analysis, and Control of Networked Dynamical Systems

Systems & Control: Foundations & Applications

von: Ziyang Meng, Tao Yang, Karl H. Johansson
85,59 €
Verlag:	Birkhäuser
Format:	PDF
Veröffentl.:	15.10.2021
ISBN/EAN:	9783030846824
Sprache:	englisch
Anzahl Seiten:	163

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Beschreibungen

Titelbeschreibung

<div>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.</div><div><br></div><div>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.</div><div><br></div><div><i>Modelling, Analysis, and Control of Networked Dynamical Systems</i> 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.</div><div> </div>

Inhaltsverzeichnis

Introduction.- Part I Modelling.- Preliminaries.- Networked Dynamical Systems Models.- Part II Analysis.- System Synchronization.- Synchronization with Non-expansive Dynamics.- Periodic Solutions.- Modulus Consensus.- Part III Control.- Control of Networked Dynamical System with Input Saturation.- Control of Networked Dynamical System with Large Delays.- Control of Networked Dynamical System with Heterogeneous Dynamics.- Part IV Applications.- Spacecraft Formation Flying.- Multi-robot Rendezvous.- Energy Resource Coordination.- References.

Back cover copy

<div>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.</div><div><br></div><div>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.</div><div><br></div><div><i>Modelling, Analysis, and Control of Networked Dynamical Systems</i> 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.</div><div><br></div>

Sonderbeitrag

Analyzes and reconstructs emergent behaviors of networked dynamical systems using precise mathematical models Focuses on the control of networked systems with input saturation, large delays, and heterogeneous dynamics Includes valuable applications that will appeal to researchers specializing in multi-agent systems