An adaptive state feedback controller based on SVR for nonlinear systems

Abstract

In this study, generalized self-tuning regulator (STR) based on support vector regression (SVR) which was previously introduced is deployed to design a state feedback controller so as to control a nonlinear bioreactor system. The parameters of the state feedback controller used in the controller block are adjusted via SVR based parameter estimator and system model blocks. The performance evaluation of the controller has been examined by simulations carried out on a nonlinear bioreactor system.