TY - GEN
T1 - State monitoring of systems augmented by model reference adaptive control using analytic time-series forecasting
AU - Mühlegg, Maximilian
AU - Chowdhary, Girish
AU - Holzapfel, Florian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/5
Y1 - 2016/8/5
N2 - Certification of adaptive control algorithms for use on aerospace applications has not yet been accomplished in the aerospace industry. According to an emerging consensus between various authors, online monitoring and health assessment will play an integral role in closing this gap. In this paper we propose a monitoring system for Model Reference Adaptive Controllers, which enables online detection of future state requirement violations. We achieve this by employing Gaussian Process regression, which leads to a belief on the uncertainty in the system dynamics. Using analytic time-series forecasting, the system dynamics can be projected into the future, thus allowing for a statistical assertion whether a state requirement will be violated during the prediction horizon. We show the concept in numerical simulation.
AB - Certification of adaptive control algorithms for use on aerospace applications has not yet been accomplished in the aerospace industry. According to an emerging consensus between various authors, online monitoring and health assessment will play an integral role in closing this gap. In this paper we propose a monitoring system for Model Reference Adaptive Controllers, which enables online detection of future state requirement violations. We achieve this by employing Gaussian Process regression, which leads to a belief on the uncertainty in the system dynamics. Using analytic time-series forecasting, the system dynamics can be projected into the future, thus allowing for a statistical assertion whether a state requirement will be violated during the prediction horizon. We show the concept in numerical simulation.
UR - http://www.scopus.com/inward/record.url?scp=84986182374&partnerID=8YFLogxK
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U2 - 10.1109/MED.2016.7535993
DO - 10.1109/MED.2016.7535993
M3 - Conference contribution
AN - SCOPUS:84986182374
T3 - 24th Mediterranean Conference on Control and Automation, MED 2016
SP - 437
EP - 442
BT - 24th Mediterranean Conference on Control and Automation, MED 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th Mediterranean Conference on Control and Automation, MED 2016
Y2 - 21 June 2016 through 24 June 2016
ER -