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Titlebook: Cooperative Control of Multi-Agent Systems; Optimal and Adaptive Frank L. Lewis,Hongwei Zhang,Abhijit Das Book 2014 Springer-Verlag London

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书目名称Cooperative Control of Multi-Agent Systems
副标题Optimal and Adaptive
编辑Frank L. Lewis,Hongwei Zhang,Abhijit Das
视频video
概述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 stabi
丛书名称Communications and Control Engineering
图书封面Titlebook: Cooperative Control of Multi-Agent Systems; Optimal and Adaptive Frank L. Lewis,Hongwei Zhang,Abhijit Das Book 2014 Springer-Verlag London
描述.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..
出版日期Book 2014
关键词Agent Synchronization; Consensus Control; Cooperative Control; Multi-agent Systems; Neural Adaptive Cont
版次1
doihttps://doi.org/10.1007/978-1-4471-5574-4
isbn_softcover978-1-4471-7194-2
isbn_ebook978-1-4471-5574-4Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer-Verlag London 2014
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Riccati Design for Synchronization of Discrete-Time Systems is assumed to have fixed topology and contain a spanning tree. The graph properties complicate the design of synchronization controllers due to the interplay between the eigenvalues of the graph Laplacian matrix and the required stabilizing gains. A method is given that decouples the design of the
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Cooperative Globally Optimal Control for Multi-Agent Systems on Directed Graph Topologiesraphs. In this chapter, we examine the design of distributed control protocols that solve . optimal problems for all the agents in the graph. In cooperative control systems on graphs, it turns out that local optimality for each agent and global optimality for all the agents are not the same. This ch
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Graph Laplacian Potential and Lyapunov Functions for Multi-Agent Systemsn the communication graph topology. The Laplacian potential captures the notion of a virtual potential energy stored in the graph. We shall study the Laplacian potential for both undirected graphs and directed graphs. The Laplacian potential is further used here to construct Lyapunov functions that
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