Data driven modeling filtering control (17 risultati)

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  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    EUR 124,50

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  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, GB, 2019

    1785617125 / 9781785617126

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    Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA

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    EUR 126,88

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    Hardback. Condizione: New. The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.

  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    EUR 135,30

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    EUR 147,21

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, GB, 2019

    1785617125 / 9781785617126

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    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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    EUR 128,00

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    Hardback. Condizione: New. The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.

  • Lingua: Inglese

    Editore: Inst of Engineering & Technology, 2019

    1785617125 / 9781785617126

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 169,81

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    Hardcover. Condizione: Brand New. 300 pages. 9.21x6.14x0.79 inches. In Stock.

  • Lingua: Inglese

    Editore: The Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 155,04

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    Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, GB, 2019

    1785617125 / 9781785617126

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Hardback. Condizione: New. The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.

  • Lingua: Inglese

    Editore: Institution Of Engineering & Technology Sep 2019, 2019

    1785617125 / 9781785617126

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. Neuware - The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.

  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, GB, 2019

    1785617125 / 9781785617126

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    Hardback. Condizione: New. The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.

  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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  • Lingua: Inglese

    Editore: Institution of Engineering and Technology, 2019

    1785617125 / 9781785617126

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    Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.