TY - GEN
T1 - Real-time identification of ARX-SDP model using a rectangular moving window
AU - Alegria, Elvis Jara
AU - Bottura, Celso Pascoli
N1 - Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - This paper proposes a real-time identification method for auto-regressive with exogenous inputs and state-dependent parameters (ARX-SDP). This model is always non-linear. We conveniently adapt Young's off-line approach to an real-time approach with reduced computational cost. Young's approach focuses on discovering state-parameter dependence. This implies to unveil the nonlinear structure of the system. The proposed real-time method focuses on monitoring the non-linear state-parameter dependence, detecting structural changes and updating the model structure in real time. Finally, applications to the real-time identification of state-dependent parameters are presented and structural changes are simulated in order to test our approach.
AB - This paper proposes a real-time identification method for auto-regressive with exogenous inputs and state-dependent parameters (ARX-SDP). This model is always non-linear. We conveniently adapt Young's off-line approach to an real-time approach with reduced computational cost. Young's approach focuses on discovering state-parameter dependence. This implies to unveil the nonlinear structure of the system. The proposed real-time method focuses on monitoring the non-linear state-parameter dependence, detecting structural changes and updating the model structure in real time. Finally, applications to the real-time identification of state-dependent parameters are presented and structural changes are simulated in order to test our approach.
UR - https://www.scopus.com/pages/publications/85039998758
U2 - 10.23919/IConAC.2017.8082067
DO - 10.23919/IConAC.2017.8082067
M3 - Conference contribution
AN - SCOPUS:85039998758
T3 - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing
BT - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
A2 - Zhang, Jie
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Conference on Automation and Computing, ICAC 2017
Y2 - 7 September 2017 through 8 September 2017
ER -