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Toplam kayıt 3, listelenen: 1-3
A Runge-Kutta MLP Neural Network Based Control Method for Nonlinear MIMO Systems
(Ieee, 2019)
In this paper, Runge-Kutta MLP based self-adaptive controller (SAC) is proposed for nonlinear multi-input multi output (MIMO) systems. The controller parameters are optimized by considering K-step ahead future behavior of ...
An adaptive state feedback controller based on SVR for nonlinear systems
(Ieee, 2018)
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 ...
Fuzzy PID Type STR based on SVR for Nonlinear Systems
(Ieee, 2017)
In this study, generalized self-tuning regulator (STR) based on support vector regression (SVR) which was previously introduced [1] is deployed to control a continuously stirred tank reactor (CSTR) system. The parameters ...