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Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches
Kategorie Beschreibung
036aXA-GB
037beng
077a450472558 Druckausg.: ‡Cooperative control of multi-agent systems
087q978-1-4471-5573-7
100 Lewis, Frank L.
104bZhang, Hongwei
108bHengster-Movric, Kristian
112bDas, Abhijit
331 Cooperative Control of Multi-Agent Systems
335 Optimal and Adaptive Design Approaches
410 London ; s.l.
412 Springer London
425 2014
425a2014
433 Online-Ressource (XX, 307 p. 80 illus., 59 illus. in color, online resource)
451bCommunications and Control Engineering
501 Includes bibliographical references and index
517 Introduction to Synchronization in Nature and Physics and Cooperative Control for Multi-agent Systems on GraphsAlgebraic Graph Theory and Cooperative Control Consensus -- Part I Distributed 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 II Distributed 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.
527 Druckausg.: ‡Cooperative control of multi-agent systems
540aISBN 978-1-4471-5574-4
700 |TJFM
700 |TEC004000
700 |*93-02
700 |93A14
700 |68T42
700 |93C40
700 |49N90
700 |93B52
700 |93D20
700 |93C55
700 |05C90
700 |91A12
700 |91A43
700b|629.8
700c|TJ212-225
750 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 feedback 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 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. 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
012 399535829
081 Lewis, Frank L.: Cooperative Control of Multi-Agent Systems
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-1-4471-5574-4
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