TY - GEN
T1 - Textile Sensor Surrogate Modeling Using Sparse Identification
AU - Steiger, Martin
AU - Petz, Phillip
AU - Schuler, Stephan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This paper addresses a possible surrogate model of a textile-based force sensor as introduced by Schuler et al., that is based on capacitance changes of conductive pads on the sensor surface caused by physical deformation. The proposed model is supposed to capture dynamic relationships between capacitance, force, and pull distance using a novel approach based on discrete Preisach hysteresis models in combination with Sparse Identifications of Non-linear Dynamics (SINDy), that is especially suitable for embedded systems applications.
AB - This paper addresses a possible surrogate model of a textile-based force sensor as introduced by Schuler et al., that is based on capacitance changes of conductive pads on the sensor surface caused by physical deformation. The proposed model is supposed to capture dynamic relationships between capacitance, force, and pull distance using a novel approach based on discrete Preisach hysteresis models in combination with Sparse Identifications of Non-linear Dynamics (SINDy), that is especially suitable for embedded systems applications.
KW - Hysteresis Modeling
KW - Soft Sensors
KW - Sparse Identification
UR - https://www.scopus.com/pages/publications/105004252417
U2 - 10.1007/978-3-031-82949-9_38
DO - 10.1007/978-3-031-82949-9_38
M3 - Conference contribution
AN - SCOPUS:105004252417
SN - 9783031829512
T3 - Lecture Notes in Computer Science
SP - 429
EP - 442
BT - Computer Aided Systems Theory - EUROCAST 2024 - 19th International Conference, 2024, Revised Selected Papers
A2 - Quesada-Arencibia, Alexis
A2 - Affenzeller, Michael
A2 - Moreno-Díaz, Roberto
PB - Springer
T2 - 19th International Conference on Computer Aided Systems Theory, EUROCAST 2024
Y2 - 25 February 2024 through 1 March 2024
ER -