Data-driven modeling, filtering and control : methods and applications

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...

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Bibliographic Details
Other Authors Novara, Carlo (Editor), Formentin, Simone (Editor)
Format Electronic eBook
LanguageEnglish
Published Stevenage : Institution of Engineering and Technology, 2019.
SeriesControl, robotics and sensors series
Subjects
Automatic control > Data processing.
System design > Data processing.
Systems engineering > Data processing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781785617133
1785617133
9781785617126
1785617125
Physical Description1 online resource (1 volume)

Cover

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520 |a 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. 
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