Modelling, Analysis, and Control of Networked Dynamical Systems

ISBN-13: 9783030846817 / Angielski / Twarda / 2021 / 166 str.

Ziyang Meng; Tao Yang; Karl H. Johansson

Recenzje

"The book is well written, self-contained, and easy to follow. All the chapters include a section pointing the readers to the related literature. ... It is suitable for researchers who would like to get into this area and for engineers who would like to understand how recent development in this area can be potentially applied to various engineering applications." (Bing Chu, Mathematical Reviews, April, 2023)

"This book is a valuable guide for researchers, engineers and students in the field of mathematics, informatics, control science, artificial intelligence, and dynamical systems." (Savin Treanta, zbMATH 1491.93052, 2022)

Spis treści

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.

Blurb

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.