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Authors:
Kelm, Benjamin; Myschik, Stephan; Niggemann, Oliver 
Document type:
Vortrag / Presentation 
Title:
Control Reconfiguration of CPS via Online Identification using Sparse Regression (SINDYc) 
Conference title:
Machine Learning For Cyber-Physical Systems Conference (2023, Hamburg) 
Conference title:
ML4CPS 
Venue:
Hamburg 
Year of conference:
2023 
Date of conference beginning:
29.03.2023 
Date of conference ending:
31.03.2023 
Year:
2023 
Language:
Englisch 
Abstract:
Cyber-physical systems are getting more and more complex and thus are increasingly prone to faults. Since it is intractable to model all faults a-priori, online plant identification and reconfiguration is key to a successful fault handling strategy. This paper presents an approach to control reconfiguration via online identification of CPS to increase system dependability against actuator or plant faults. Using sparse regression (SINDYc), closed-loop system dynamics, including faults, are identi...    »
 
Department:
Fakultät für Maschinenbau 
Institute:
MB 8 - Institut für Aeronautical Engineering 
Chair:
Myschik, Stephan 
Open Access yes or no?:
Nein / No 
Presentation at:
ML4CPS 2023 
Fulltext information:

 
Fulltext version:
Preprint 
Fulltext OA license:
CC BY 4.0