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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Novara, Carlo, Formentin, Simone
Format: E-Book
Sprache:Englisch
Veröffentlicht: Stevenage The Institution of Engineering and Technology 2019
Institution of Engineering and Technology (The IET)
Institution of Engineering & Technology
Institution of Engineering and Technology
Ausgabe:1
Schriftenreihe:Control, robotics and sensors series
Schlagworte:
Automatic control
Electronics
Electronics engineering
General References
Software Engineering
System design
Systems engineering
TECHNOLOGY & ENGINEERING
filtering theory
identification
control systems
ISBN:9781785617126, 1785617125
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:9781785617126
1785617125
DOI:10.1049/PBCE123E