Constrained control machine learning (6 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer Nature Switzerland AG, Cham, 2026

    303202708X / 9783032027085

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    Hardcover. Zustand: new. Hardcover. This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Sprache: Englisch

    Verlag: Springer Nature, 2025

    303202708X / 9783032027085

    • Hardcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    Hardcover. Zustand: Brand New. 150 pages. 9.26x6.11x9.49 inches. In Stock.

  • Sprache: Englisch

    Verlag: Springer, 2026

    303202708X / 9783032027085

    • Hardcover

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures.

  • Sprache: Englisch

    Verlag: Springer Nature Switzerland AG Apr 2026, 2026

    303202708X / 9783032027085

    • Hardcover
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    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    EUR 160,49

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    Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. 312 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer Verlag GmbH, 2026

    303202708X / 9783032027085

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Sprache: Englisch

    Verlag: Springer Nature Switzerland AG Apr 2026, 2026

    303202708X / 9783032027085

    • Hardcover
    • Print-on-Demand

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000

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    Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 312 pp. Englisch.