Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approach

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Cooperative Control of Multi-Agent Systems by Frank L. Lewis, Hongwei Zhang, Abhijit Das, Kristian Hengster-Movric

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 response design, cooperative observer design, and cooperative dynamic output response design.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Publisher 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 response design, cooperative observer design, and cooperative dynamic output response 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 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.

Back Cover

Task complexity, communication constraints, flexibility and energy-saving concerns are all factors that may require a group of autonomous agents to work together in a cooperative manner. Applications involving such complications include mobile robots, wireless sensor networks, unmanned aerial vehicles (UAVs), spacecraft, and so on. In such networked multi-agent scenarios, the restrictions imposed by the communication graph topology can pose severe problems in the design of cooperative response control systems. Cooperative control of multi-agent systems is a challenging topic for both control theorists and practitioners and has been the subject of significant recent research. 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 response design, cooperative observer design, and cooperative dynamic output response 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. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.

Table of Contents

Introduction to Synchronization in Nature and Physics and Cooperative Control for Multi-agent Systems on Graphs.- Algebraic Graph Theory and Cooperative Control Consensus.- Part IDistributed Optimal Design for Cooperative Control in Multi-agent Systems on Graphs.- Local Optimal Design for Cooperative Control in Multi-agent Systems on Graphs.- Riccati Design for Synchronization of Discrete-Time Systems.- Cooperative Globally Optimal Control for Multi-agent Systems on Directed Graph Topologies.- Graphical Games:Distributed Multi-player Games on Graphs.- Part IIDistributed Adaptive Control for Multi-agent Cooperative Systems.- Graph Laplacian Potential and Lyapunov Functions for Multi-agent Systems.- Cooperative Adaptive Control for Systems with First-Order Nonlinear Dynamics.- Cooperative Adaptive Control for Systems with Second-Order Nonlinear Dynamics.- Cooperative Adaptive Control for Higher-Order Nonlinear Systems.

Long 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 response design, cooperative observer design, and cooperative dynamic output response 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.

Feature

Gives the reader convenient Riccati-based design techniques for a various forms of control with single- to high-order dynamics Demonstrates the reliability of the methods described with rigorous stability analysis and detailed control design algorithms Self-contained providing the reader with solid background and comprehensive cutting-edge research in the same source

Details ISBN1447171942 Author Kristian Hengster-Movric Publisher Springer London Ltd Year 2016 ISBN-10 1447171942 ISBN-13 9781447171942 Format Paperback Imprint Springer London Ltd Subtitle Optimal and Adaptive Design Approaches Place of Publication England Country of Publication United Kingdom DEWEY 629.8 Publication Date 2016-08-23 Language English Media Book Pages 307 Short Title Cooperative Control of Multi-Agent Systems UK Release Date 2016-08-23 AU Release Date 2016-08-23 NZ Release Date 2016-08-23 Birth 1974 Affiliation Univ Of Illinois At Urbana-champaign, Usa Position Customer Qualifications M.D. Edition Description Softcover reprint of the original 1st ed. 2014 Series Communications and Control Engineering Alternative 9781447155737 Audience Professional & Vocational Country of Origin NL Product Class Description Computing: Professional & Programming Illustrations 59 Illustrations, color; 21 Illustrations, black and white
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