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Elsevier

Second-Order Consensus of Continuous-Time Multi-Agent Systems

  • 1st Edition - February 18, 2021
  • Latest edition
  • Authors: Huaqing Li, Dawen Xia, Qingguo Lü, Zheng Wang, Xiangzhao Wu, Huiwei Wang, Lianghao Ji
  • Language: English

Second-Order Consensus of Continuous-Time Multi-Agent Systems focuses on the characteristics and features of second-order agents, communication networks, and control protocols… Read more

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Description

Second-Order Consensus of Continuous-Time Multi-Agent Systems focuses on the characteristics and features of second-order agents, communication networks, and control protocols/algorithms in continuous consensus of multi-agent systems. The book provides readers with background on consensus control of multi-agent systems and introduces the intrinsic characteristics of second-order agents’ behavior, including the development of continuous control protocols/algorithms over various types of underlying communication networks, as well as the implementation of computation- and communication-efficient strategies in the execution of protocols/algorithms. The book's authors also provide coverage of the frameworks of stability analysis, algebraic criteria and performance evaluation.

On this basis, the book provides an in-depth study of intrinsic nonlinear dynamics from agents’ perspective, coverage of unbalanced directed topology, random switching topology, event-triggered communication, and random link failure, from a communication networks’ perspective, as well as leader-following control, finite-time control, and global consensus control, from a protocols/algorithms’ perspective. Finally, simulation results including practical application examples are presented to illustrate the effectiveness and the practicability of the control protocols and algorithms proposed in this book.

Key features

  • Introduces the latest and most advanced protocols and algorithms in second-order consensus of continuous time, multi-agent systems with various characteristics
  • Provides readers with in-depth methods on how to construct the frameworks of stability analysis, algebraic criteria, and performance evaluation, thus helping users develop novel consensus control methods
  • Includes systematic introductions and detailed implementations on how control protocols and algorithms solve problems in real world, second-order, multi-agent systems, including solutions for engineers in related fields

Readership

Academics (scientists, researchers, MSc. PhD. students) from the fields of Mathematics, Computer Science, automation, Applied Mathematics, Artificial Intelligence, and Information Technology. Researchers and practitioners in any field that deals with systems sciences - modelling of complex systems, intelligent systems, multi-agent systems, and intelligent information processing. Academics, researchers, and industries working in the fields of engineering, medicine, and natural sciences

Table of contents

1. Second-Order Consensus Seeking in Directed Networks of Multi-Agent Dynamical Systems via Generalized Linear Local Interaction Protocols2. Robust Finite-Time Leader-Following Consensus Algorithms for Second-Order Multi-Agent Systems with Nonlinear Dynamics3. Second-Order Consensus of Multi-Agent Systems with Nonlinear Dynamics over Random Switching Directed Networks4. Second-Order Locally Dynamical Consensus of Multi-Agent Systems with Arbitrarily Fast Switching Directed Topologies5. Second-Order Global Consensus in Multi-Agent Systems with Random Directional Link Failure6. Algebraic Criteria for Second-Order Global Consensus in Multi-Agent Networks with Intrinsic Nonlinear Dynamics and Directed Topologies7. Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems8. Consensus Analysis of Multi-Agent Systems with Second-Order Nonlinear Dynamics and General Directed Topology: An Event-Triggered Scheme

Product details

  • Edition: 1
  • Latest edition
  • Published: February 18, 2021
  • Language: English

About the authors

HL

Huaqing Li

Dr. Huaqing Li is a Professor in the College of Electronic and Information Engineering, Southwest University, Chongqing, China. He received his Ph.D. in Computer Science and Technology from Chongqing University, and was a Postdoctoral Researcher at School of Electrical and Information Engineering, The University of Sydney and at the School of Electrical and Electronic Engineering, Nanyang Technological University. His main research interests include Nonlinear Dynamics and Control, Multi-Agent Systems, and Distributed Optimization. Dr. Li currently serves as a Regional Editor for Neural Computing & Applications and an Editorial Board Member for IEEE Access.
Affiliations and expertise
College of Electronic and Information Engineering, Southwest University, Chongqing, China

DX

Dawen Xia

Dr. Dawen Xia is a Professor and the Dean of the College of Data Science and Information Engineering, Guizhou Minzu University, Guiyang, China. He received his Ph.D. in Statistics from the College of Computer and Information Science & College of Software, Southwest University, Chongqing, China, in 2016. He is currently a Professor and the Dean with the College of Data Science and Information Engineering, Guizhou Minzu University, Guiyang, China. His current research interests include Big Data Analytics, Parallel and Distributed Computing, Spatio-Temporal Data Mining, and Multi-Agent Systems.
Affiliations and expertise
Professor and Dean, College of Data Science and Engineering, Guizhou Minzu University, Guiyang, China

QL

Qingguo Lü

Qingguo Lü is a Graduate Research Assistant at Southwest University, Chongqing, China, where he is currently pursuing his Ph.D. degree in Computational Intelligence and Information Processing. His research interests include privacy protection of networked systems, Distributed Optimization, Neurodynamics, and Smart Grids.
Affiliations and expertise
Associate Researcher, College of Computer Science, Chongqing University, Chongqing, China

ZW

Zheng Wang

Zheng Wang received the B.E. degree in electronic information science and technology from the University of Jinan, Jinan, China, in 2015, and the M.E. degree in electronics and communication engineering from Southwest University, Chongqing, China, in 2018. His research interests include multi-agent systems and distributed optimization.
Affiliations and expertise
Southwest University, Chongqing, China

XW

Xiangzhao Wu

Xiangzhao Wu received his B.E. degree in measurement and control technology and instrument from Chengdu University of Technology, Chengdu, China, in 2019. He is currently working toward a master's degree in the College of Electronic and Information Engineering, Southwest University, Chongqing, China. His research interests include multi-agent system and distributed optimization.
Affiliations and expertise
Southwest University, Chongqing, China

HW

Huiwei Wang

Dr. Huiwei Wang is an Associate Professor with the College of Electronic and Information Engineering, Southwest University, Chongqing, China. He was a Postdoctoral Research Associate and a Program Aide with Texas A&M University at Qatar. He received his Ph.D. in Computer Science from Chongqing University. His research interests include Neural Networks, Multi-Agent Networks, Wireless Sensor Networks, Cyber Physical System, and Smart Grids.
Affiliations and expertise
Associate Professor, College of Electronic and Information Engineering, Southwest University, Chongqing, China

LJ

Lianghao Ji

Dr. Lianghao Ji is a Professor at Chongqing University of Posts and Telecommunications. He received his Ph.D. in Computer Science and Technology from Chongqing University. His current research interests include MultiAgent Systems, Complex and Intelligent Systems, and Intelligent Information Processing.
Affiliations and expertise
Professor, Chongqing University of Posts and Telecommunications, Chongqing, China

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