Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Language: English
Published by Institution of Engineering and Technology, GB, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Hardback. Condition: 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.
Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Language: English
Published by Institution of Engineering and Technology, GB, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketHardback. Condition: 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.
Language: English
Published by Institution of Engineering and Technology, GB, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
Language: English
Published by INSTITUTION OF ENGINEERING & T, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketCondition: New. Inhaltsverzeichnisrnrnn Chapter 1: Introductionn Part I: Data-driven modelingn Chapter 2: A kernel-based approach to supervised nonparametric identification of Wiener systemsn Chapter 3: Identification of a quas.
Language: English
Published by The Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Published by Inst of Engineering & Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketHardcover. Condition: Brand New. 300 pages. 9.21x6.14x0.79 inches. In Stock.
Language: English
Published by Institution of Engineering and Technology, GB, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketHardback. Condition: 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.
Language: English
Published by Institution Of Engineering & Technology Sep 2019, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Buch. Condition: Neu. Neuware - Using important examples, this book showcases the potential of the latest data-based and data-driven methodologies for filter and control design. It discusses the most important classes of dynamic systems, along with the statistical and set membership analysis and design frameworks.
Language: English
Published by Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Published by Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Institution of Engineering and Technology, 2019
ISBN 10: 1785617125 ISBN 13: 9781785617126
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.