TY - GEN
T1 - Interval observers for a class of nonlinear systems using Gaussian process models
AU - Capone, Alexandre
AU - Hirche, Sandra
N1 - Publisher Copyright:
© 2019 EUCA.
PY - 2019/6
Y1 - 2019/6
N2 - An interval observer design approach for partially unknown nonlinear systems is developed, where the unknown system component is modeled using Gaussian processes and noisy system measurements. The proposed method is applicable for bounded nonlinear systems where the system uncertainty is described by a Lipschitz continuous function. The interval observer generates a correct estimation error with high probability, and the error bound is decreased by employing new training data points.
AB - An interval observer design approach for partially unknown nonlinear systems is developed, where the unknown system component is modeled using Gaussian processes and noisy system measurements. The proposed method is applicable for bounded nonlinear systems where the system uncertainty is described by a Lipschitz continuous function. The interval observer generates a correct estimation error with high probability, and the error bound is decreased by employing new training data points.
UR - http://www.scopus.com/inward/record.url?scp=85071555422&partnerID=8YFLogxK
U2 - 10.23919/ECC.2019.8795920
DO - 10.23919/ECC.2019.8795920
M3 - Conference contribution
AN - SCOPUS:85071555422
T3 - 2019 18th European Control Conference, ECC 2019
SP - 1350
EP - 1355
BT - 2019 18th European Control Conference, ECC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th European Control Conference, ECC 2019
Y2 - 25 June 2019 through 28 June 2019
ER -