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EUR 118,10
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EUR 124,48
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 143,75
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Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032495464 ISBN 13: 9781032495460
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 143,26
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.Based on the basic graph theory and adaptive backstepping control, this monograph: Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers Explores adaptive finite-time consensus for uncertain nonlinear systems Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communicationDistributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 174,08
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Aggiungi al carrelloHardcover. Condizione: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032495464 ISBN 13: 9781032495460
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 168,93
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.Based on the basic graph theory and adaptive backstepping control, this monograph: Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers Explores adaptive finite-time consensus for uncertain nonlinear systems Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communicationDistributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032495464 ISBN 13: 9781032495460
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 142,48
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.Based on the basic graph theory and adaptive backstepping control, this monograph: Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers Explores adaptive finite-time consensus for uncertain nonlinear systems Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communicationDistributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources. Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: moluna, Greven, Germania
EUR 124,24
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Wei Wang received her B.Eng degree in Electrical Engineering and Automation from Beihang University (China) in 2005, M.Sc degree in Radio Frequency Communication Systems with Distinction from University of Southampton (UK) in 2006 and Ph.D degree from Na.
Da: Revaluation Books, Exeter, Regno Unito
EUR 131,84
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Aggiungi al carrelloHardcover. Condizione: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 142,10
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring.