TY - GEN
T1 - MIMO ARX-SDP model estimation proposal and application to a hydraulic system
AU - Alegria, Elvis Jara
AU - Bottura, Celso Pascoli
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/10
Y1 - 2016/10/10
N2 - This work deals with the ARX-SDP model estimation problem; it implies on discovering the state-parameter dependences. This model is always non-linear and cannot be solved by conventional methods. Young's proposal, based on a special datareordering and on an iterative-recursive method, is modified considering a fixed and low forgetting factor and unitary regressors. A MIMO version of our proposal is also presented. A hydraulic application to four interconnected tanks shows the applicability of our proposal.
AB - This work deals with the ARX-SDP model estimation problem; it implies on discovering the state-parameter dependences. This model is always non-linear and cannot be solved by conventional methods. Young's proposal, based on a special datareordering and on an iterative-recursive method, is modified considering a fixed and low forgetting factor and unitary regressors. A MIMO version of our proposal is also presented. A hydraulic application to four interconnected tanks shows the applicability of our proposal.
UR - https://www.scopus.com/pages/publications/84994361284
U2 - 10.1109/CCA.2016.7587944
DO - 10.1109/CCA.2016.7587944
M3 - Conference contribution
AN - SCOPUS:84994361284
T3 - 2016 IEEE Conference on Control Applications, CCA 2016
SP - 1001
EP - 1006
BT - 2016 IEEE Conference on Control Applications, CCA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Conference on Control Applications, CCA 2016
Y2 - 19 September 2016 through 22 September 2016
ER -