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Taschenbuch. Condition: Neu. Distributed Average Tracking in Multi-agent Systems | Fei Chen (u. a.) | Taschenbuch | xix | Englisch | 2021 | Springer | EAN 9783030395384 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, 2020
ISBN 10: 3030395359 ISBN 13: 9783030395353
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces students to an exciting field of research in control and roboticsProvides academic researchers with suggestions for new directions of study in multi-agent systemsPresents animated simulations and experimental videos availabl.
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030395383 ISBN 13: 9783030395384
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces students to an exciting field of research in control and roboticsProvides academic researchers with suggestions for new directions of study in multi-agent systemsPresents animated simulations and experimental videos availabl.
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Published by Springer, Springer Feb 2021, 2021
ISBN 10: 3030395383 ISBN 13: 9783030395384
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track - using local communication only - the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking:algorithm design via nonsmooth and extended PI control;distributed average tracking for double-integrator, general-linear, Euler-Lagrange, and input-saturated dynamics; andapplications in dynamic region-following formation control and distributed convex optimization.The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.
Language: English
Published by Springer, Springer Feb 2020, 2020
ISBN 10: 3030395359 ISBN 13: 9783030395353
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track - using local communication only - the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking:algorithm design via nonsmooth and extended PI control;distributed average tracking for double-integrator, general-linear, Euler-Lagrange, and input-saturated dynamics; andapplications in dynamic region-following formation control and distributed convex optimization.The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.