Isbn: 9781032495491 - distributed adaptive consensus control of uncertain multi-agent systems (automation and control engineering) (8 resultados)

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  • Idioma: Inglés

    Editorial: Taylor and Francis Ltd, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Taylor and Francis Ltd, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Paperback. Condición: Brand New. 204 pages. 6.14x0.46x9.21 inches. In Stock.

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    Condición: New. 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.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd (Sales) Jul 2026, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Neuware - 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.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032495499 / 9781032495491

    Serie: Libro 57 de 58 - Automation and Control Engineering

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 75,13

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    Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.