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 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

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  • Author : Lijing Dong
  • Publisher : Academic Press
  • Pages : 266 pages
  • ISBN : 0128183659
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKConsensus Tracking of Multi agent Systems with Switching Topologies

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 BOOKConsensus 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

Model Free Adaptive Control

Model Free Adaptive Control
  • Author : Zhongsheng Hou,Shangtai Jin
  • Publisher : CRC Press
  • Release : 24 September 2013
GET THIS BOOKModel Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized

2019 Chinese Control Conference (CCC)

2019 Chinese Control Conference (CCC)
  • Author : IEEE Staff
  • Publisher : Unknown Publisher
  • Release : 27 July 2019
GET THIS BOOK2019 Chinese Control Conference (CCC)

variable structure control vehicle systems control sensor networks big data analysis and compressed sampling nonlinear systems control nonlinear systems theory complexity and complex system theory industrial systems and manufacturing transportation systems robust control fuzzy system and fuzzy control neural networks data driven modeling and control stochastic systems micro nano and quantum systems stability and stabilization systems modeling and identification motion control signal processing and information fusion intelligent robot etc

Distributed Consensus in Multi-vehicle Cooperative Control

Distributed Consensus in Multi-vehicle Cooperative Control
  • Author : Wei Ren,Randal Beard
  • Publisher : Springer Science & Business Media
  • Release : 27 October 2007
GET THIS BOOKDistributed Consensus in Multi-vehicle Cooperative Control

Assuming only neighbor-neighbor interaction among vehicles, this monograph develops distributed consensus strategies that ensure that the information states of all vehicles in a network converge to a common value. Readers learn to deal with groups of autonomous vehicles in aerial, terrestrial, and submarine environments. Plus, they get the tools needed to overcome impaired communication by using constantly updated neighbor-neighbor interchange.

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
GET THIS BOOKSecond-Order Consensus of Continuous-Time Multi-Agent Systems

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

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 BOOKAdvanced 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

Fixed-Time Cooperative Control of Multi-Agent Systems

Fixed-Time Cooperative Control of Multi-Agent Systems
  • Author : Zongyu Zuo,Qing-Long Han,Boda Ning
  • Publisher : Springer
  • Release : 28 May 2019
GET THIS BOOKFixed-Time Cooperative Control of Multi-Agent Systems

This monograph presents new theories and methods for fixed-time cooperative control of multi-agent systems. Fundamental concepts of fixed-time stability and stabilization are introduced with insightful understanding. This book presents solutions for several problems of fixed-time cooperative control using systematic design methods. The book compares fixed-time cooperative control with asymptotic cooperative control, demonstrating how the former can achieve better closed-loop performance and disturbance rejection properties. It also discusses the differences from finite-time control, and shows how fixed-time cooperative control can produce

Multi-Agent Systems

Multi-Agent Systems
  • Author : Vladimir Shikhin
  • Publisher : BoD – Books on Demand
  • Release : 06 March 2019
GET THIS BOOKMulti-Agent Systems

This book integrates the practices of enthusiastic investigators in the field of MAS-based approaches, elaboration, and implementation. The content of the book identifies the most complicated tasks and their possible solutions while implementing MAS instrumentation into engineering practice. The proposed focus on the control problems involves a wide range of adjacent problems described in the chapters of the book. Material presented in the book aim to provide the basic knowledge for further MAS-systems study and control design to reach the

Proceedings of 2019 Chinese Intelligent Systems Conference

Proceedings of 2019 Chinese Intelligent Systems Conference
  • Author : Yingmin Jia,Junping Du,Weicun Zhang
  • Publisher : Springer Nature
  • Release : 07 September 2019
GET THIS BOOKProceedings of 2019 Chinese Intelligent Systems Conference

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

Cooperative Control of Multi-Agent Systems

Cooperative Control of Multi-Agent Systems
  • Author : Frank L. Lewis,Hongwei Zhang,Kristian Hengster-Movric,Abhijit Das
  • Publisher : Springer Science & Business Media
  • Release : 31 December 2013
GET THIS BOOKCooperative Control of Multi-Agent Systems

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
  • Author : IEEE Staff
  • Publisher : Unknown Publisher
  • Release : 13 December 2020
GET THIS BOOK2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)

Adaptive control Robust control Process control Complex systems Co operative control Identification and estimation Nonlinear systems Intelligent systems Discrete event systems Hybrid systems Man machine interactions Process automation Intelligent automation Factory modeling and simulation Home, laboratory and service automation Network based systems Planning, scheduling and coordination Modeling and identification multi robot systems Robot control Mobile robotics Mobile sensor networks Perception systems Micro robots and micro manipulation Visual servoing Search, rescue and field robotics Robot sensing and data fusion Localization, navigation

Proceedings of 2017 Chinese Intelligent Systems Conference

Proceedings of 2017 Chinese Intelligent Systems Conference
  • Author : Yingmin Jia,Junping Du,Weicun Zhang
  • Publisher : Springer
  • Release : 27 September 2017
GET THIS BOOKProceedings of 2017 Chinese Intelligent Systems Conference

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.

Graph Theoretic Methods in Multiagent Networks

Graph Theoretic Methods in Multiagent Networks
  • Author : Mehran Mesbahi,Magnus Egerstedt
  • Publisher : Princeton University Press
  • Release : 01 July 2010
GET THIS BOOKGraph Theoretic Methods in Multiagent Networks

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems.

Intelligent Computing, Networked Control, and Their Engineering Applications

Intelligent Computing, Networked Control, and Their Engineering Applications
  • Author : Dong Yue,Chen Peng,Dajun Du,Tengfei Zhang,Min Zheng,Qinglong Han
  • Publisher : Springer
  • Release : 01 September 2017
GET THIS BOOKIntelligent Computing, Networked Control, and Their Engineering Applications

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications;

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 BOOKConsensus 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.