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Publicado por Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030395383 ISBN 13: 9783030395384
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 105,77
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Añadir al carritoPaperback. Condición: new. Paperback. 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, EulerLagrange, 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. 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; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030395359 ISBN 13: 9783030395353
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 105,78
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Añadir al carritoHardcover. Condición: new. Hardcover. 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, EulerLagrange, 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. 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; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 120,74
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 134,12
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Publicado por Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030395383 ISBN 13: 9783030395384
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 189,43
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Añadir al carritoPaperback. Condición: new. Paperback. 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, EulerLagrange, 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. 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; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030395359 ISBN 13: 9783030395353
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 192,65
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Añadir al carritoHardcover. Condición: new. Hardcover. 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, EulerLagrange, 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. 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; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 133,68
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 134,67
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Publicado por Springer International Publishing, 2020
ISBN 10: 3030395359 ISBN 13: 9783030395353
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 92,27
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Añadir al carritoGebunden. Condición: 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.
Publicado por Springer International Publishing, 2021
ISBN 10: 3030395383 ISBN 13: 9783030395384
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 92,27
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Añadir al carritoKartoniert / Broschiert. Condición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 137,21
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 138,21
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