Consensus Tracking of Multi agent Systems with Switching Topologies

Consensus Tracking of Multi agent Systems with Switching Topologies
Author: Lijing Dong,Sing Kiong Nguang
Publsiher: Academic Press
Total Pages: 266
Release: 2020-04-22
ISBN 10: 0128183659
ISBN 13: 9780128183656
Language: EN, FR, DE, ES & NL

Consensus Tracking of Multi agent Systems with Switching Topologies Book Review:

Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with continuously switching topologies and relay tracking systems with switching of agents. Research problems addressed are well defined and numerical examples and simulation results are given to demonstrate the engineering potential. The book is aimed at advanced graduate students in control engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers working on nonlinear control and switched control, as well as mathematicians and biomedical engineering researchers working on complex systems. Discusses key applications and the latest advances in distributed consensus tracking methods Offers a clear and comprehensive overview on the recent development of multi-agent systems with switching topologies Offers graduate students and beginning engineers a core reference on complex systems analysis and cooperative control

Cooperative Tracking Control and Regulation for a Class of Multi agent Systems

Cooperative Tracking Control and Regulation for a Class of Multi agent Systems
Author: Hongjing Liang,Huaguang Zhang
Publsiher: Springer
Total Pages: 173
Release: 2019-05-28
ISBN 10: 9811383596
ISBN 13: 9789811383595
Language: EN, FR, DE, ES & NL

Cooperative Tracking Control and Regulation for a Class of Multi agent Systems Book Review:

This book focuses on the characteristics of cooperative control problems for general linear multi-agent systems, including formation control, air traffic control, rendezvous, foraging, role assignment, and cooperative search. On this basis and combined with linear system theory, it introduces readers to the cooperative tracking problem for identical continuous-time multi-agent systems under state-coupled dynamics; the cooperative output regulation for heterogeneous multi-agent systems; and the optimal output regulation for model-free multi-agent systems. In closing, the results are extended to multiple leaders, and cooperative containment control for uncertain multi-agent systems is addressed. Given its scope, the book offers an essential reference guide for researchers and designers of multi-agent systems, as well as a valuable resource for upper-level undergraduate and graduate students.

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems
Author: Jianan Wang,Chunyan Wang,Ming Xin,Zhengtao Ding,Jiayuan Shan
Publsiher: Academic Press
Total Pages: 258
Release: 2020-03-25
ISBN 10: 0128204451
ISBN 13: 9780128204450
Language: EN, FR, DE, ES & NL

Cooperative Control of Multi Agent Systems Book Review:

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors’ recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of specialties in electrical, mechanical or aerospace engineering fields will use this book as a key resource. Helps shape the reader's understanding of optimal and robust cooperative control design techniques for multi-agent systems Presents new theoretical control challenges and investigates unresolved/open problems Explores future research trends in multi-agent systems Offers a certain amount of analytical mathematics, practical numerical procedures, and actual implementations of some proposed approaches

Cooperative Control of Complex Network Systems with Dynamic Topologies

Cooperative Control of Complex Network Systems with Dynamic Topologies
Author: Guanghui Wen,Wenwu Yu,Yuezu Lv,Peijun Wang
Publsiher: CRC Press
Total Pages: 304
Release: 2021-07-02
ISBN 10: 1000400182
ISBN 13: 9781000400182
Language: EN, FR, DE, ES & NL

Cooperative Control of Complex Network Systems with Dynamic Topologies Book Review:

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves. As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. This book mainly studies consensus of CNSs with dynamics topologies - unlike most existing books that have focused on consensus control and analysis for CNSs under a fixed topology. As most practical networks have limited communication ability, switching graphs can be used to characterize real-world communication topologies, leading to a wider range of practical applications. This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.

Robust Cooperative Control of Multi Agent Systems

Robust Cooperative Control of Multi Agent Systems
Author: Chunyan Wang,Zongyu Zuo,Jianan Wang,Zhengtao Ding
Publsiher: CRC Press
Total Pages: 230
Release: 2021-05-18
ISBN 10: 100037663X
ISBN 13: 9781000376630
Language: EN, FR, DE, ES & NL

Robust Cooperative Control of Multi Agent Systems Book Review:

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles. Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented. About the Authors Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China. Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China. Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China. Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems
Author: Zhongkui Li,Zhisheng Duan
Publsiher: CRC Press
Total Pages: 262
Release: 2017-12-19
ISBN 10: 1466569972
ISBN 13: 9781466569973
Language: EN, FR, DE, ES & NL

Cooperative Control of Multi Agent Systems Book Review:

Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to cooperative control and graph theory, this monograph: Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems Studies the H∞ and H2 consensus problems for linear multi-agent systems subject to external disturbances Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input Examines the distributed containment control problem for the case with multiple leaders Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems Cooperative Control of Multi-Agent Systems: A Consensus Region Approach provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.

Multi Agent Systems

Multi Agent Systems
Author: Xiang-Gui Guo,Jian-Liang Wang,Fang Liao,Rodney Swee Huat Teo
Publsiher: CRC Press
Total Pages: 222
Release: 2019-06-25
ISBN 10: 1000228967
ISBN 13: 9781000228960
Language: EN, FR, DE, ES & NL

Multi Agent Systems Book Review:

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode control (SMC) algorithms are proposed to guarantee strong string stability based on modified constant time headway (MCTH) policy. The MCTH policy is used to remove the unrealistic assumption in the most existing literature that initial spacing, velocity and acceleration errors are zero. This monograph investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.

Advances in Neural Networks ISNN 2014

Advances in Neural Networks     ISNN 2014
Author: Zhigang Zeng,Yangmin Li,Irwin King
Publsiher: Springer
Total Pages: 649
Release: 2014-11-28
ISBN 10: 3319124366
ISBN 13: 9783319124360
Language: EN, FR, DE, ES & NL

Advances in Neural Networks ISNN 2014 Book Review:

The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.

Iterative Learning Control for Multi agent Systems Coordination

Iterative Learning Control for Multi agent Systems Coordination
Author: Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
Publsiher: John Wiley & Sons
Total Pages: 272
Release: 2017-03-03
ISBN 10: 1119189063
ISBN 13: 9781119189060
Language: EN, FR, DE, ES & NL

Iterative Learning Control for Multi agent Systems Coordination Book Review:

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice

Neural Information Processing

Neural Information Processing
Author: Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa
Publsiher: Springer
Total Pages: 689
Release: 2018-12-03
ISBN 10: 3030042391
ISBN 13: 9783030042394
Language: EN, FR, DE, ES & NL

Neural Information Processing Book Review:

The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 7th and final volume, LNCS 11307, is organized in topical sections on robotics and control; biomedical applications; and hardware.

Cooperative Coverage Control of Multi Agent Systems and its Applications

Cooperative Coverage Control of Multi Agent Systems and its Applications
Author: Chao Zhai
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811676259
ISBN 13: 9789811676253
Language: EN, FR, DE, ES & NL

Cooperative Coverage Control of Multi Agent Systems and its Applications Book Review:

Proceedings of 2019 Chinese Intelligent Systems Conference

Proceedings of 2019 Chinese Intelligent Systems Conference
Author: Yingmin Jia,Junping Du,Weicun Zhang
Publsiher: Springer Nature
Total Pages: 751
Release: 2019-09-07
ISBN 10: 9813296984
ISBN 13: 9789813296985
Language: EN, FR, DE, ES & NL

Proceedings of 2019 Chinese Intelligent Systems Conference Book Review:

This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Synchronization Control for Large Scale Network Systems

Synchronization Control for Large Scale Network Systems
Author: Yuanqing Wu,Renquan Lu,Hongye Su,Peng Shi,Zheng-Guang Wu
Publsiher: Springer
Total Pages: 234
Release: 2016-10-12
ISBN 10: 3319451502
ISBN 13: 9783319451503
Language: EN, FR, DE, ES & NL

Synchronization Control for Large Scale Network Systems Book Review:

This book provides recent advances in analysis and synthesis of Large-scale network systems (LSNSs) with sampled-data communication and non-identical nodes. In its first chapter of the book presents an introduction to Synchronization of LSNSs and Algebraic Graph Theory as well as an overview of recent developments of LSNSs with sampled data control or output regulation control. The main text of the book is organized into two main parts - Part I: LSNSs with sampled-data communication and Part II: LSNSs with non-identical nodes. This monograph provides up-to-date advances and some recent developments in the analysis and synthesis issues for LSNSs with sampled-data communication and non-identical nodes. It describes the constructions of the adaptive reference generators in the first stage and the robust regulators in the second stage. Examples are presented to show the effectiveness of the proposed design techniques.

Complex Systems and Networks

Complex Systems and Networks
Author: Jinhu Lü,Xinghuo Yu,Guanrong Chen,Wenwu Yu
Publsiher: Springer
Total Pages: 482
Release: 2015-08-14
ISBN 10: 3662478242
ISBN 13: 9783662478240
Language: EN, FR, DE, ES & NL

Complex Systems and Networks Book Review:

This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

Advanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems
Author: Magdi S. Mahmoud,Mojeed O. Oyedeji,Yuanqing Xia
Publsiher: Academic Press
Total Pages: 394
Release: 2020-12-05
ISBN 10: 012823203X
ISBN 13: 9780128232033
Language: EN, FR, DE, ES & NL

Advanced Distributed Consensus for Multiagent Systems Book Review:

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments. Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation

Proceedings of 2017 Chinese Intelligent Systems Conference

Proceedings of 2017 Chinese Intelligent Systems Conference
Author: Yingmin Jia,Junping Du,Weicun Zhang
Publsiher: Springer
Total Pages: 787
Release: 2017-09-27
ISBN 10: 9811064997
ISBN 13: 9789811064999
Language: EN, FR, DE, ES & NL

Proceedings of 2017 Chinese Intelligent Systems Conference Book Review:

This book presents selected research papers from CISC’17, held in MudanJiang, China. The topics covered include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

Distributed Average Tracking in Multi agent Systems

Distributed Average Tracking in Multi agent Systems
Author: Fei Chen,Wei Ren
Publsiher: Springer Nature
Total Pages: 231
Release: 2020-02-04
ISBN 10: 3030395367
ISBN 13: 9783030395360
Language: EN, FR, DE, ES & NL

Distributed Average Tracking in Multi agent Systems Book Review:

This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking: algorithm design via nonsmooth and extended PI control; distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; and applications in dynamic region-following formation control and distributed convex optimization. The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.

Distributed Cooperative Control of Multi agent Systems

Distributed Cooperative Control of Multi agent Systems
Author: Wenwu Yu,Guanghui Wen,Guanrong Chen,Jinde Cao
Publsiher: John Wiley & Sons
Total Pages: 264
Release: 2016-10-18
ISBN 10: 1119246237
ISBN 13: 9781119246237
Language: EN, FR, DE, ES & NL

Distributed Cooperative Control of Multi agent Systems Book Review:

A detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi-agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control

Machine Behavior Design And Analysis

Machine Behavior Design And Analysis
Author: Yinyan Zhang,Shuai Li
Publsiher: Springer Nature
Total Pages: 183
Release: 2020-03-13
ISBN 10: 9811532311
ISBN 13: 9789811532313
Language: EN, FR, DE, ES & NL

Machine Behavior Design And Analysis Book Review:

In this book, we present our systematic investigations into consensus in multi-agent systems. We show the design and analysis of various types of consensus protocols from a multi-agent perspective with a focus on min-consensus and its variants. We also discuss second-order and high-order min-consensus. A very interesting topic regarding the link between consensus and path planning is also included. We show that a biased min-consensus protocol can lead to the path planning phenomenon, which means that the complexity of shortest path planning can emerge from a perturbed version of min-consensus protocol, which as a case study may encourage researchers in the field of distributed control to rethink the nature of complexity and the distance between control and intelligence. We also illustrate the design and analysis of consensus protocols for nonlinear multi-agent systems derived from an optimal control formulation, which do not require solving a Hamilton-Jacobi-Bellman (HJB) equation. The book was written in a self-contained format. For each consensus protocol, the performance is verified through simulative examples and analyzed via mathematical derivations, using tools like graph theory and modern control theory. The book’s goal is to provide not only theoretical contributions but also explore underlying intuitions from a methodological perspective.

Proceedings of 2020 Chinese Intelligent Systems Conference

Proceedings of 2020 Chinese Intelligent Systems Conference
Author: Yingmin Jia,Weicun Zhang,Yongling Fu
Publsiher: Springer Nature
Total Pages: 851
Release: 2020-09-23
ISBN 10: 9811584508
ISBN 13: 9789811584503
Language: EN, FR, DE, ES & NL

Proceedings of 2020 Chinese Intelligent Systems Conference Book Review:

The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.