Skip to main content

Cooperative Control Of Multi Agent Systems

In Order to Read Online or Download Cooperative Control Of Multi Agent Systems Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems Book
Author : Yue Wang,Eloy Garcia,Fumin Zhang,David Casbeer
Publisher : John Wiley & Sons
Release : 2017-05-08
ISBN : 1119266122
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, consensus, stochastic game theory-based framework, event-triggered control, topology design and identification, coordination under uncertainty and coverage control. Establishes a bridge between fundamental cooperative control theory and specific problems of interest in a wide range of applications areas Includes example applications from the fields of space exploration, radiation shielding, site clearance, tracking/classification, surveillance, search-and-rescue and more Features detailed presentations of specific algorithms and application frameworks with relevant commercial and military applications Provides a comprehensive look at the latest developments in this rapidly evolving field, while offering informed speculation on future directions for collective control systems The use of multi-agent system technologies in both everyday commercial use and national defense is certain to increase tremendously in the years ahead, making this book a valuable resource for researchers, engineers, and applied mathematicians working in systems and controls, as well as advanced undergraduates and graduate students interested in those areas.

Distributed Cooperative Control of Multi agent Systems

Distributed Cooperative Control of Multi agent Systems Book
Author : Wenwu Yu,Guanghui Wen,Guanrong Chen,Jinde Cao
Publisher : John Wiley & Sons
Release : 2017-05-01
ISBN : 1119246202
Language : En, Es, Fr & De

GET BOOK

Book Description :

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

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems Book
Author : Frank L. Lewis,Hongwei Zhang,Kristian Hengster-Movric,Abhijit Das
Publisher : Springer Science & Business Media
Release : 2013-12-31
ISBN : 1447155742
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 first-, second- and on up to general high-order nonlinear dynamics are presented. Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.

Cooperative Control of Multi Agent Systems

Cooperative Control of Multi Agent Systems Book
Author : Jianan Wang,Chunyan Wang,Ming Xin,Zhengtao Ding,Jiayuan Shan
Publisher : Academic Press
Release : 2020-03-25
ISBN : 0128204451
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 Multi Agent Systems

Cooperative Control of Multi Agent Systems Book
Author : Zhongkui Li,Zhisheng Duan
Publisher : CRC Press
Release : 2017-12-19
ISBN : 1466569972
Language : En, Es, Fr & De

GET BOOK

Book Description :

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.

Distributed Cooperative Control and Communication for Multi agent Systems

Distributed Cooperative Control and Communication for Multi agent Systems Book
Author : Dong Yue
Publisher : Springer Nature
Release : 2021-04-20
ISBN : 9813367180
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Distributed Cooperative Control and Communication for Multi agent Systems book written by Dong Yue, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Cooperative Control of Multi agent Systems Stability Optimality and Robustness

Cooperative Control of Multi agent Systems Stability  Optimality and Robustness Book
Author : Kristian Hengster Movric,ProQuest Dissertations and Theses (Electronic resource collection),University of Texas at Arlington. College of Engineering
Publisher : Unknown
Release : 2013
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

In this work design methods are given for distributed synchronization control of multi-agent systems on directed communication graphs. Conditions are derived based on the relation of the graph eigenvalues to a region in a complex plane that depends on the single-agent system and the solution of the local Riccati equation. The synchronizing region concept is used. Cooperative observer design, guaranteeing convergence of the local estimates to their true values, is also proposed. The notion of convergence region for distributed observers is introduced. A duality principle is shown to hold for distributed observers and controllers on balanced graph topologies. Application of cooperative observers is made to the distributed synchronization problem. Three dynamic regulator architectures are proposed for cooperative synchronization.In the second part this work brings together stability and optimality theory to design distributed cooperative control protocols, which guarantee consensus and are globally optimal with respect to a structured performance criterion. Here an inverse optimality approach is used together with partial stability to consider cooperative consensus and synchronization algorithms. A new class of digraphs is defined admitting a distributed solution to the global optimal control problem.The third part of this work investigates cooperative control performance under disturbances, and distributed static output-feedback control. Control design for the state consensus in presence of disturbances is investigated. Derived results are also applicable to multi-agent systems with heterogeneous agents. If, on the other hand, one constrains the control to be of the static output-feedback form, one needs to redefine the synchronizing region as the output-feedback synchronizing region.Contributions to Discrete-time Multi-agent Consensus ProblemThe main contribution to the discrete-time multi-agent consensus problem is the proposed design method based on local Riccati feedback gains, guaranteeing cooperative stability and convergence to consensus.Contributions to Globally Optimal Distributed Control ProblemThe globally optimal distributed synchronization control protocols are investigated. The main contribution is in merging the notions of inverse optimality and partial stability to guarantee robust stabilization to the noncompact consensus manifold. Furthermore, second contribution is the introduction of the class of digraphs that gives a distributed solution to a structured global optimal control problem.Contributions to Cooperative Robustness of Multi-agent SystemsThe robustness properties of asymptotic and exponential stability are applied in the context of cooperative stability for consensus. The results are based on Lyapunov functions for noncompact manifolds, and the pertinent stability and robustness properties are further elaborated. Distributed and local observers are utilized for disturbance compensation. Contributions to Distributed Output-feedback for State SynchronizationAn application of the cooperative stability analysis, via synchronizing region, to the distributed output-feedback is presented. It is shown that the guaranteed synchronizing region for output-feedback can be both bounded and unbounded.

Distributed Cooperative Control for Multi agent Systems

Distributed Cooperative Control for Multi agent Systems Book
Author : Guoguang Wen
Publisher : Unknown
Release : 2012
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

This dissertation focuses on distributed cooperative control of multi-agent systems. First, the leader-following consensus for multi-agent systems with nonlinear dynamics is investigated. Three consensus algorithms are proposed and some sufficient conditions are obtained for the states of followers converging to the state of virtual leader globally exponentially. Second, the consensus tracking for multi-agent systems with nonlinear dynamics is investigated. Some consensus tracking algorithms are developed, and some sufficient conditions are obtained. Based on these consensus tracking algorithms and sufficient conditions, it is shown that in first-order multi-agent systems all followers can track the virtual leader in finite time, and in second-order multi-agent systems the consensus tracking can be achieved at least globally exponentially. Third, the path planning and motion control of multi-agent formation is studied, where a practical framework is provided. In order to find a collision-free and deadlock-free feasible path for the whole formation, an optimizing algorithm is given to optimize the path generated by A* search algorithm. In order to realize the cohesive motion of a persistent formation in 3-dimensional space, a set of decentralized control laws is designed. Finally, the formation keeping problem is studied. We mainly focus on the closing ranks problem, which deals with the addition of links to a rigid multi-agent formation that is "damaged" by losing one of its agents, in order to recover rigidity. Some graph theoretical results are obtained, and some systematic 'self-repair' operations are proposed to recover the rigidity in case of agent removals.

Cooperative Control of Multi agent Systems

Cooperative Control of Multi agent Systems Book
Author : Anokina Shalimoon
Publisher : Unknown
Release : 2018
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

This graduate project focuses on various algorithms within subject of cooperative control of multi-agent systems. It begins with background information on graph theory and mathematical preliminaries utilized in multi-agent systems, and explains consensus, flocking, and formation algorithms in theoretical details and via simulations. Consensus algorithm is described for both continuous and discrete-time with mathematical examples; Flocking algorithm based on Craig Reynolds’ rule is presented in terms of collision avoidance, velocity matching and flock centering. Formation control algorithm is studied in theoretical details and software simulations, with emphasis on generating pre-defined formations by examining feedback gains. Throughout this project, MATLAB simulations are conducted to illustrate each of the above three algorithms. For consensus algorithms, consensus convergence rates are compared for undirected versus directed networks. For flocking algorithms, behaviors of multi-agent systems are analyzed using Reynolds’ rule. To conclude, formation control algorithm is examined to obtain desired shapes starting at a random state by varying feedback gains.

Fixed Time Cooperative Control of Multi Agent Systems

Fixed Time Cooperative Control of Multi Agent Systems Book
Author : Zongyu Zuo,Qing-Long Han,Boda Ning
Publisher : Springer
Release : 2020-08-14
ISBN : 9783030202811
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 the faster rate of convergence and provide an explicit estimate of the settling time independent of initial conditions. This monograph presents multiple applications of fixed-time control schemes, including to distributed optimization of multi-agent systems, making it useful to students, researchers and engineers alike.

Cooperative Control of Distributed Multi Agent Systems

Cooperative Control of Distributed Multi Agent Systems Book
Author : Jeff Shamma
Publisher : John Wiley & Sons
Release : 2008-02-28
ISBN : 9780470724194
Language : En, Es, Fr & De

GET BOOK

Book Description :

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.

Robust Cooperative Control of Multi Agent Systems

Robust Cooperative Control of Multi Agent Systems Book
Author : Chunyan Wang,Zongyu Zuo,Jian'an Wang,Zhengtao Ding
Publisher : CRC Press
Release : 2021
ISBN : 9781003164142
Language : En, Es, Fr & De

GET BOOK

Book Description :

"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 predictive 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"--

Cooperative Control and Connectivity Assessment of Multi Agent Systems Subject to Disturbance and Constrained Measurements

Cooperative Control and Connectivity Assessment of Multi Agent Systems Subject to Disturbance and Constrained Measurements Book
Author : Mohammad Mehdi Asadi
Publisher : Unknown
Release : 2015
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

The problem of designing distributed control strategies and developing connectivity metrics for multi-agent systems subject to constrained measurements and external disturbances is studied in this work. The constraint on the field of view (FOV) of the sensing devices used in multi-agent networks is ubiquitous in a wide range of applications. Such constraints have a fundamental impact on the overall performance of the network. The consensus and containment problems for a network of single-integrator agents are investigated, where each agent is assumed to have a sensor with a constrained angular FOV. The flocking problem for a network of double integrators with constrained FOVs is then investigated, where each agent is assumed to be equipped with relative distance and bearing angle sensors, with conic-shaped sensing areas of limited visibility. The angular velocity of the FOV of each agent along with the corresponding control inputs are designed such that the flocking objectives are achieved in a certain neighborhood of the desired configuration. A distributed consensus controller for a network of unicycle agents subject to external disturbances in input channels is also developed for two different cases of disturbances with known linear dynamics and unknown disturbances with known upper bounds. Then, a multi-agent system composed of underwater acoustic sensors is considered, where the network is modeled by a random graph. Different notions for the connectivity assessment of the expected graph of a random network are introduced, and efficient algorithms are developed to evaluate them. Simulations are provided throughout the work to support the theoretical findings.

Consensus Tracking of Multi agent Systems with Switching Topologies

Consensus Tracking of Multi agent Systems with Switching Topologies Book
Author : Lijing Dong,Sing Kiong Nguang
Publisher : Academic Press
Release : 2020-04-22
ISBN : 0128183659
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 Book
Author : Hongjing Liang,Huaguang Zhang
Publisher : Springer
Release : 2019-05-28
ISBN : 9811383596
Language : En, Es, Fr & De

GET BOOK

Book Description :

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.

Coopertive and Consensus based Control for a Team of Multi agent Systems

Coopertive and Consensus based Control for a Team of Multi agent Systems Book
Author : Iman Saboori
Publisher : Unknown
Release : 2016
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Cooperative control has attracted a noticeable interest in control systems community due to its numerous applications in areas such as formation flying of unmanned aerial vehicles, cooperative attitude control of spacecraft, rendezvous of mobile robots, unmanned underwater vehicles, traffic control, data network congestion control and routing. Generally, in any cooperative control of multi-agent systems one can find a set of locally sensed information, a communication network with limited bandwidth, a decision making algorithm, and a distributed computational capability. The ultimate goal of cooperative systems is to achieve consensus or synchronization throughout the team members while meeting all communication and computational constraints. The consensus problem involves convergence of outputs or states of all agents to a common value and it is more challenging when the agents are subjected to disturbances, measurement noise, model uncertainties or they are faulty. This dissertation deals with the above mentioned challenges and has developed methods to design distributed cooperative control and fault recovery strategies in multi-agent systems. Towards this end, we first proposed a transformation for Linear Time Invariant (LTI) multi-agent systems that facilitates a systematic control design procedure and make it possible to use powerful Lyapunov stability analysis tool to guarantee its consensus achievement. Moreover, Lyapunov stability analysis techniques for switched systems are investigated and a novel method is introduced which is well suited for designing consensus algorithms for switching topology multi-agent systems. This method also makes it possible to deal with disturbances with limited root mean square (RMS) intensities. In order to decrease controller design complexity, a iii method is presented which uses algebraic connectivity of the communication network to decouple augmented dynamics of the team into lower dimensional parts, which allows one to design the consensus algorithm based on the solution to an algebraic Riccati equation with the same order as that of agent. Although our proposed decoupling method is a powerful approach to reduce the complexity of the controller design, it is possible to apply classical pole placement methods to the transformed dynamics of the team to develop and obtain controller gains. The effects of actuator faults in consensus achievement of multi-agent systems is investigated. We proposed a framework to quantitatively study actuator loss-of-effectiveness effects in multi-agent systems. A fault index is defined based on information on fault severities of agents and communication network topology, and sufficient conditions for consensus achievement of the team are derived. It is shown that the stability of the cooperative controller is linked to the fault index. An optimization problem is formulated to minimize the team fault index that leads to improvements in the performance of the team. A numerical optimization algorithm is used to obtain the solutions to the optimal problem and based on the solutions a fault recovery strategy is proposed for both actuator saturation and loss-of-effectiveness fault types. Finally, to make our proposed methodology more suitable for real life scenarios, the consensus achievement of a multi-agent team in presence of measurement noise and model uncertainties is investigated. Towards this end, first a team of LTI agents with measurement noise is considered and an observer based consensus algorithm is proposed and shown that the team can achieve H∞ output consensus in presence of both bounded RMS disturbance input and measurement noise. In the next step a multi-agent team with both linear and Lipschitz nonlinearity uncertainties is studied and a cooperative control algorithm is developed. An observer based approach is also developed to tackle consensus achievement problem in presence of both measurement noise and model uncertainties.

Delay Robustness in Cooperative Control

Delay Robustness in Cooperative Control Book
Author : Ulrich Münz
Publisher : Logos Verlag Berlin GmbH
Release : 2010
ISBN : 3832525912
Language : En, Es, Fr & De

GET BOOK

Book Description :

The robustness of various cooperative control schemes on large scale networked systems with respect to heterogeneous communication and coupling delays is investigated. The presented results provide delay-dependent and delay-independent conditions that guarantee consensus, rendezvous, flocking, and synchronization in different classes of multi-agent systems (MAS). All conditions are scalable to arbitrarily large multi-agent systems with non-identical agent dynamics. In particular, conditions for linear agents, for nonlinear agents with relative degree one, and for a class of nonlinear agents with relative degree two are presented. The interconnection topology between the agents is in most cases represented by an undirected graph. The results for nonlinear agents with relative degree one hold also for the more general case of directed graphs with switching topologies. Different delay configurations are investigated and compared. These configurations represent different ways how the delays affect the coupling between the agents. The presented robustness analysis considers constant, time-varying, and distributed delays in order to take different sources of delays into account. The results are applied to several typical applications and simulations illustrate the findings.

Multiagent Systems

Multiagent Systems Book
Author : Magdi S. Mahmoud
Publisher : CRC Press
Release : 2020-03-20
ISBN : 1000078108
Language : En, Es, Fr & De

GET BOOK

Book Description :

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.

Distributed Coordination of Multi agent Networks

Distributed Coordination of Multi agent Networks Book
Author : Wei Ren,Yongcan Cao
Publisher : Springer Science & Business Media
Release : 2010-11-30
ISBN : 9780857291691
Language : En, Es, Fr & De

GET BOOK

Book Description :

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment control enables maneuvering of multiple followers by multiple leaders.