Advanced Distributed Consensus for Multiagent Systems

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  • Author : Magdi S. Mahmoud
  • Publisher : Academic Press
  • Pages : 394 pages
  • ISBN : 012823203X
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Advanced Distributed Consensus for Multiagent Systems

Download or Read online Advanced Distributed Consensus for Multiagent Systems full in PDF, ePub and kindle. this book written by Magdi S. Mahmoud and published by Academic Press which was released on 05 December 2020 with total page 394 pages. We cannot guarantee that Advanced Distributed Consensus for Multiagent Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Advanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems
  • Author : Magdi S. Mahmoud,Mojeed O. Oyedeji,Yuanqing Xia
  • Publisher : Academic Press
  • Release : 05 December 2020
GET THIS BOOK Advanced Distributed Consensus for Multiagent Systems

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

Consensus Tracking of Multi agent Systems with Switching Topologies

Consensus Tracking of Multi agent Systems with Switching Topologies
  • Author : Lijing Dong,Sing Kiong Nguang
  • Publisher : Academic Press
  • Release : 22 April 2020
GET THIS BOOK Consensus Tracking of Multi agent Systems with Switching Topologies

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

Consensus Problem of Delayed Linear Multi agent Systems

Consensus Problem of Delayed Linear Multi agent Systems
  • Author : Cheng-Lin Liu,Fei Liu
  • Publisher : Springer
  • Release : 27 September 2016
GET THIS BOOK Consensus Problem of Delayed Linear Multi agent Systems

In the context of coupled-coordination control mechanisms, this book focuses on the delay robustness of consensus problems with asynchronously coupled and synchronously coupled consensus algorithms respectively. Moreover, constructive consensus algorithms that tolerate larger communication delays are proposed according to idea of compensation. By providing rigorous theoretical proofs and numerous numerical simulations, it enhances readers’ understanding of the consensus coordination control mechanism of multi-agent systems with communication delays.

Second Order Consensus of Continuous Time Multi Agent Systems

Second Order Consensus of Continuous Time Multi Agent Systems
  • Author : Huaqing Li,Dawen Xia,Qingguo Lu,Zheng Wang,Xiangzhao Wu,Huiwei Wang,Lianghao Ji
  • Publisher : Academic Press
  • Release : 03 March 2021
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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

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems
  • Author : Yue Wang,Eloy Garcia,Fumin Zhang,David Casbeer
  • Publisher : John Wiley & Sons
  • Release : 08 May 2017
GET THIS BOOK Cooperative Control of Multi Agent Systems

A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of

Distributed Cooperative Control

Distributed Cooperative Control
  • Author : Yi Guo
  • Publisher : John Wiley & Sons
  • Release : 03 April 2017
GET THIS BOOK Distributed Cooperative Control

7.3 Plume Front Estimation and Tracking by Single Robot -- 7.3.1 State Equation of the Plume Front Dynamics -- 7.3.2 Measurement Equation and Observer Design -- 7.3.3 Estimation-Based Tracking Control -- 7.3.4 Convergence Analysis -- 7.4 Multirobot Cooperative Tracking of Plume Front -- 7.4.1 Boundary Robots -- 7.4.2 Follower Robots -- 7.4.3 Convergence Analysis -- 7.5 Simulations -- 7.5.1 Simulation Environment -- 7.5.2 Single-Robot Plume Front Tracking -- 7.5.3 Multirobot Cooperative Plume Front Tracking -- 7.6 Conclusion -- Notes -- References -- Part III Distributed Cooperative Control for Multiagent Physics Systems -- Chapter 8 Friction

Machine Behavior Design And Analysis

Machine Behavior Design And Analysis
  • Author : Yinyan Zhang,Shuai Li
  • Publisher : Springer Nature
  • Release : 13 March 2020
GET THIS BOOK Machine Behavior Design And Analysis

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

Continuum Deformation of Multi Agent Systems

Continuum Deformation of Multi Agent Systems
  • Author : Hossein Rastgoftar
  • Publisher : Birkhäuser
  • Release : 14 December 2016
GET THIS BOOK Continuum Deformation of Multi Agent Systems

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

Proceedings of the 2015 Chinese Intelligent Systems Conference

Proceedings of the 2015 Chinese Intelligent Systems Conference
  • Author : Yingmin Jia,Junping Du,Hongbo Li,Weicun Zhang
  • Publisher : Springer
  • Release : 11 December 2015
GET THIS BOOK Proceedings of the 2015 Chinese Intelligent Systems Conference

This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, 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, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

Proceedings of 2020 Chinese Intelligent Systems Conference

Proceedings of 2020 Chinese Intelligent Systems Conference
  • Author : Yingmin Jia,Weicun Zhang,Yongling Fu
  • Publisher : Springer Nature
  • Release : 29 September 2020
GET THIS BOOK Proceedings of 2020 Chinese Intelligent Systems Conference

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,

COMPSAC 2000

COMPSAC 2000
  • Author : Anonim
  • Publisher : IEEE
  • Release : 09 May 2021
GET THIS BOOK COMPSAC 2000

Proceedings of an October 2000 conference, emphasizing e-commerce and industrial and academic issues such as information technology management, standards in software engineering, virtual education, network security, data mining, and web information systems. Some topics are electronic commerce, software agents, graphic pattern recognition, object oriented design, multimedia system design, real time applications, software engineering intelligent agents, and component based design. Other subjects are Java Internet technologies, verification and metrics, algorithms, and multimedia performance engineering. Lacks a subject index. Annotation copyrighted by Book

Multi agent Optimization

Multi agent Optimization
  • Author : Angelia Nedić,Jong-Shi Pang,Gesualdo Scutari,Ying Sun
  • Publisher : Springer
  • Release : 01 November 2018
GET THIS BOOK Multi agent Optimization

This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic