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

Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 450472558 Druckausg.: ‡Cooperative control of multi-agent systems
ISBN 978-1-4471-5573-7
Name Lewis, Frank L.
Zhang, Hongwei
Name ANZEIGE DER KETTE Zhang, Hongwei
Name Hengster-Movric, Kristian
Das, Abhijit
T I T E L Cooperative Control of Multi-Agent Systems
Zusatz zum Titel Optimal and Adaptive Design Approaches
Verlagsort London ; s.l.
Verlag Springer London
Erscheinungsjahr 2014
2014
Umfang Online-Ressource (XX, 307 p. 80 illus., 59 illus. in color, online resource)
Reihe Communications and Control Engineering
Notiz / Fußnoten Includes bibliographical references and index
Weiterer Inhalt 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.
Titelhinweis Druckausg.: ‡Cooperative control of multi-agent systems
ISBN ISBN 978-1-4471-5574-4
Klassifikation TJFM
TEC004000
*93-02
93A14
68T42
93C40
49N90
93B52
93D20
93C55
05C90
91A12
91A43
629.8
TJ212-225
Kurzbeschreibung 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
SWB-Titel-Idn 399535829
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-1-4471-5574-4
Internetseite / Link Volltext
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Siehe auch Inhaltstext
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