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Textile Sensor Surrogate Modelling using Sparse Identification
Martin Konrad Steiger
,
Phillip Michael Christian Fred Petz
, Stephan Martin Schuler
Focal area Digital Transformation
Embedded Systems
Research Center Hagenberg
Center of Excellence Medical Engineering/TIMed Center
Center of Excellence for Smart Production
Focal area ICT - Information & Communications Technology
Research output
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Dive into the research topics of 'Textile Sensor Surrogate Modelling using Sparse Identification'. Together they form a unique fingerprint.
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Keyphrases
Textile Sensors
100%
Sparse Identification
100%
Surrogate Model
100%
Capacitance
50%
Sensor Surface
50%
Textile-based
50%
Force Sensor
50%
Capture Dynamics
50%
Embedded Applications
50%
Preisach Hysteresis Model
50%
Capacitance Change
50%
Physical Deformation
50%
Dynamic Relationship
50%
Engineering
Conductive
100%
Sensor Surface
100%
Textile Sensor
100%
Non-Linear Dynamic
100%
Surrogate Model
100%