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© 2019

Cooperative Control of Nonlinear Networked Systems

Infinite-time and Finite-time Design Methods

Benefits

  • Presents a series of new control results for both nonlinear networked systems subject to the non-parametric, and non-vanishing uncertainties

  • Includes worked examples with segments of MATLAB codes for readers to verify, validate, and replicate the results accordingly

  • Demonstrates various solutions to cooperative control problems of multiple networked nonlinear systems on graphs

Book

Part of the Communications and Control Engineering book series (CCE)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Overview and Preliminary

    1. Front Matter
      Pages 1-1
    2. Yongduan Song, Yujuan Wang
      Pages 3-24
    3. Yongduan Song, Yujuan Wang
      Pages 25-34
  3. Infinite-Time Cooperative Adaptive Control of Multiple Networked Nonlinear Systems

  4. Finite-Time Cooperative Adaptive Control for Multiple Networked Nonlinear Systems

About this book

Introduction

Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and distributed control methods for analyzing and synthesizing nonlinear networked systems. The book presents various solutions to cooperative control problems of multiple networked nonlinear systems on graphs.

The book includes various examples with segments of MATLAB® codes for readers to verify, validate, and replicate the results. The authors present a series of new control results for nonlinear networked systems subject to both non-parametric and non-vanishing uncertainties, including the cooperative uniformly ultimately bounded (CUUB) result, finite-time stability result, and finite-time cooperative uniformly ultimately bounded (FT-CUUB) result. With some mathematical tools, such as algebraic graph theory and certain aspects of matrix analysis theory introduced by the authors, the readers can obtain a deeper understanding of the roles of matrix operators as mathematical machinery for cooperative control design for multi-agent systems.

Cooperative Control of Nonlinear Networked Systems is a valuable source of information for researchers and engineers in cooperative adaptive control, as its technical contents are presented with examples in full analytical and numerical detail, and graphically illustrated for easy-to-understand results. Scientists in research institutes and academics in universities working on nonlinear systems, adaptive control and distributed control will find the book of interest, as it contains multi-disciplinary problems and covers different areas of research.

Keywords

Multiple Networked Dynamical Systems Cooperative Control of Multi-agent Systems Undirected Topology Finite-time Control Distributed Control Contained Control Adaptive Cooperative Control Core Function Technique Virtual Parameter Estimation Technique Time-varying Gain Based Control Fractional State-based Adaptive Control Stability Analysis Tool

Authors and affiliations

  1. 1.School of AutomationChongqing UniversityChongqingChina
  2. 2.School of AutomationChongqing UniversityChongqingChina

About the authors

Prof. Yongduan Song received the Ph.D. degree in electrical and computer engineering from Tennessee Technological University, USA, in 1992. He held a tenured Full Professor position with North Carolina A&T State University in USA from 2004 to 2008 and a Langley Distinguished Professor position with the National Institute of Aerospace, VA, USA, from 2005 to 2008. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace, Founding Director of Cooperative Systems at NIA. He is currently the Dean of the School of Automation, Chongqing University, and the Founding Director of the Institute of Smart Systems at Chongqing University. He has been serving as an Associate Editor for several prestigious scientific journals, including IEEE Trans. on Automatic Control, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Intelligent Transportation Systems, IET Control Theory and Applications etc. Prof. Song has received several competitive research awards from the National Science Foundation, the National Aeronautics and Space Administration, the U.S. Air Force Office of Scientific Research, the U.S. Army Research Office, and the U.S. Naval Research Office. His research interests include intelligent systems, guidance navigation and control, bio-inspired adaptive and cooperative systems, rail traffic control and safety, and smart grid.

Dr. Yujuan Wang received the Ph.D. degree in control theory and control engineering from Chongqing University, China, in 2016. From 2014 to 2015, she has been a visiting scholar with the Department of Electrical Engineering at University of Texas at Arlington. She was a Research Associate with the Department of Electrical and Electronic Engineering in The University of Hong Kong from 2017 to 2018. She is currently a Research Fellow with School of Automation in Chongqing University. Dr. Wang has been serving as an active reviewer for several prestigious scientific journals, including IEEE Trans. on Automatic Control, Automatica, IEEE Trans. on Neural Networks and Learning Systems etc. Her research interests include nonlinear systems, multi-agent systems, distributed control, cooperative adaptive control, and fault-tolerant control.

Bibliographic information

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Reviews

“It is not only a reference textbook for the researchers, but also can be used as an excellent graduate textbook.” (Peijun Wang, zbMATH 1422.93003, 2019)