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: 2020-04-08
ISBN 10: 012818941X
ISBN 13: 9780128189412
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

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 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.

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

Stochastic Differential Equations with Markovian Switching

Stochastic Differential Equations with Markovian Switching
Author: Xuerong Mao,Chenggui Yuan
Publsiher: Imperial College Press
Total Pages: 409
Release: 2006
ISBN 10: 1860947018
ISBN 13: 9781860947018
Language: EN, FR, DE, ES & NL

Stochastic Differential Equations with Markovian Switching Book Review:

This textbook provides the first systematic presentation of the theory of stochastic differential equations with Markovian switching. It presents the basic principles at an introductory level but emphasizes current advanced level research trends. The material takes into account all the features of Ito equations, Markovian switching, interval systems and time-lag. The theory developed is applicable in different and complicated situations in many branches of science and industry.

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: 1351831860
ISBN 13: 9781351831864
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.

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.

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

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

Continuum Deformation of Multi Agent Systems

Continuum Deformation of Multi Agent Systems
Author: Hossein Rastgoftar
Publsiher: Birkhäuser
Total Pages: 217
Release: 2016-12-14
ISBN 10: 3319415948
ISBN 13: 9783319415949
Language: EN, FR, DE, ES & NL

Continuum Deformation of Multi Agent Systems Book Review:

This monograph presents new algorithms for formation control of multi-agent systems (MAS) based on principles of continuum mechanics. Beginning with an overview of traditional methods, the author then introduces an innovative new approach whereby agents of an MAS are considered as particles in a continuum evolving in Rn whose desired configuration is required to satisfy an admissible deformation function. The necessary theory and its validation on a mobile-agent-based swarm test bed are considered for two primary tasks: homogeneous transformation of the MAS and deployment of a random distribution of agents on a desired configuration. The framework for this model is based on homogeneous transformations for the evolution of an MAS under no inter-agent communication, local inter-agent communication, and intelligent perception by agents. Different communication protocols for MAS evolution, the robustness of tracking of a desired motion by an MAS evolving in Rn, and the effect of communication delays in an MAS evolving under consensus algorithms or homogeneous maps are also explored. Featuring appendices which introduce the requisite concepts from continuum kinematics and graph theory, this monograph will provide advanced graduate students and researchers with the necessary background to understand and apply the methods presented.

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.

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.

Cooperative Coverage Control of Multi Agent Systems and its Applications

Cooperative Coverage Control of Multi Agent Systems and its Applications
Author: Chao Zhai,Hai-Tao Zhang,Gaoxi Xiao
Publsiher: Springer Nature
Total Pages: 139
Release: 2021-12-07
ISBN 10: 9811676259
ISBN 13: 9789811676253
Language: EN, FR, DE, ES & NL

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

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.

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.

Control Design of Multiagent Discrete Time Systems

Control Design of Multiagent Discrete Time Systems
Author: MagdiSadek Mahmoud
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030909409
ISBN 13: 9783030909406
Language: EN, FR, DE, ES & NL

Control Design of Multiagent Discrete Time Systems Book Review:

Modelling Analysis and Control of Networked Dynamical Systems

Modelling  Analysis  and Control of Networked Dynamical Systems
Author: Ziyang Meng
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030846822
ISBN 13: 9783030846824
Language: EN, FR, DE, ES & NL

Modelling Analysis and Control of Networked Dynamical Systems Book Review: