000			01669 a2200241 4500
003			OSt
020			_a9781785617126
040			_cIIT Kanpur
041			_aeng
082			_a629.895 _bD262
245			_aData-driven modeling, filtering and control _bmethods and applications _cedited by Carlo Novara and Simone Formentin
260			_bThe Institution of Engineering and Technology _c2019 _aLondon
300			_ax, 289p
440			_aIET control, robotics and sensors series
490			_v; v.123
520			_aThe 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.
650			_aSystem design -- Data processing
650			_aSystems engineering -- Data processing
650			_aAutomatic control -- Data processing
700			_aNovara, Carlo [ed.]
700			_aFormentin, Simone [ed.]
942			_cBK
999			_c566822 _d566822