TY - JOUR
T1 - Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems
AU - Uçak, Kemal
AU - Günel, Gülay Öke
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
PY - 2021/2
Y1 - 2021/2
N2 - NARMA model is a simple and effective way to represent nonlinear systems, based on the NARMA model, NARMA-L2 controller is designed and has been successfully applied in the literature. Success of NARMA-L2 controller is directly related to the precision with which controlled systems’ dynamics can be estimated. In this paper, online SVR is utilized to obtain controlled plant’s subdynamics and consequently this information is used in the construction of NARMA-L2 controller. Hence functionality of NARMA-L2 controllers and high generalization capability of SVR are combined. Also, SVR formulates a convex optimization problem and therefore guarantees global optimum solution. The proposed method is assessed by performing simulations on a nonlinear CSTR system, the robustness of the designed controller is also tested under noisy and uncertainty conditions.
AB - NARMA model is a simple and effective way to represent nonlinear systems, based on the NARMA model, NARMA-L2 controller is designed and has been successfully applied in the literature. Success of NARMA-L2 controller is directly related to the precision with which controlled systems’ dynamics can be estimated. In this paper, online SVR is utilized to obtain controlled plant’s subdynamics and consequently this information is used in the construction of NARMA-L2 controller. Hence functionality of NARMA-L2 controllers and high generalization capability of SVR are combined. Also, SVR formulates a convex optimization problem and therefore guarantees global optimum solution. The proposed method is assessed by performing simulations on a nonlinear CSTR system, the robustness of the designed controller is also tested under noisy and uncertainty conditions.
KW - Model based adaptive control
KW - NARMA-L2 SVR controller
KW - NARMA-L2 SVR model
KW - Online support vector regression
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85098722173&partnerID=8YFLogxK
U2 - 10.1007/s11063-020-10403-8
DO - 10.1007/s11063-020-10403-8
M3 - Article
AN - SCOPUS:85098722173
SN - 1370-4621
VL - 53
SP - 405
EP - 428
JO - Neural Processing Letters
JF - Neural Processing Letters
IS - 1
ER -