Data-Driven Modeling, Filtering and Control : Methods and applications /

Research in the field of system identification and control has been shifting from traditional model-based to data-driven or evidence-based theories. The latter methods enable better designs based on more direct and accurate data-based information and verifiable data. In the era of big data, IoT, and...

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Bibliographic Details

Corporate Author:	Institution of Engineering and Technology
Other Authors:	Formentin, Simone (Editor), Novara, Carlo (Editor)
Format:	eBook
Language:	English
Published:	Stevenage : IET, 2019.
Series:	Control, Robotics & Sensors.
Subjects:	Filters (Mathematics) Identification. control systems. filtering theory. identification. Internet of Things IoT big data cyber-physical systems data-driven control data-driven filtering data-driven modeling system identification
Online Access:	Connect to the full text of this electronic book