A Novel Adaptive LSSVR-Based Inverse Optimal Controller With Integrator for Nonlinear Non-Affine Systems

Muhammet Emre Sanci*, Kemal Ucak, Gulay Oke Gunel

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Özet

In this study, a novel inverse optimal controller based on NARMA-L2 modelling technique and online least squares support vector regression (LSSVR) method has been proposed for nonlinear non-affine systems. Firstly, the nonlinear autoregressive with exogenous inputs (NARX) model of the system is obtained using online LSSVR method, then this model is decomposed into NARMA-L2 submodels. Hence, the non-affine system model is converted to a nonlinear affine system model. The obtained NARMA-L2 submodels are used in computing the inverse optimal control law. Furthermore, the parameters of the inverse optimal controller have also been optimized online using the Levenberg-Marquadt algorithm. The performance of the proposed LSSVR based inverse optimal controller using NARMA-L2 model has been evaluated by simulations carried out on two benchmark systems, and the results show that the LSSVR based NARMA-L2 model and inverse optimal controller attain good modelling and control performances.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)137548-137576
Sayfa sayısı29
DergiIEEE Access
Hacim11
DOI'lar
Yayın durumuYayınlandı - 2023

Bibliyografik not

Publisher Copyright:
© 2013 IEEE.

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