Yazar "Uçak, Kemal" için listeleme
-
Adaptive MIMO fuzzy PID controller based on peak observer
Uçak, Kemal; Arslantürk, Beyza Nur (RAMAZAN YAMAN, 2023)In this paper, a novel peak observer based adaptive multi-input multi-output (MIMO) fuzzy proportional-integral-derivative (PID) controller has been introduced for MIMO time delay systems. The adaptation mechanism proposed ... -
Adaptive Sliding Mode Control based on SVR
Uçak, Kemal; Öke Günel, Gülay (IEEE, 2020)Sliding mode control (SMC) is a prevalent control technique, especially effective for nonlinear systems. Its performance is enhanced if the parameters chosen in the design of the SMC are determined in an optimal way. In ... -
An adaptive sliding mode controller based on online support vector regression for nonlinear systems
Uçak, Kemal; Oke Gunel, Gulay (Springer, 2020)In this paper, a novel adaptive sliding mode controller (SMC) based on support vector regression (SVR) is introduced for nonlinear systems. The closed-loop margin notion introduced for self-tuning regulators is rearranged ... -
An adaptive state feedback controller based on SVR for nonlinear systems
Uçak, Kemal; Öke Günel, Gülay (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
Uçak, Kemal; Günel, Gülay Öke (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 ... -
Model free adaptive support vector regressor controller for nonlinear systems
Günel, Gülay Öke (Pergamon-Elsevier Science Ltd, 2019)In this study, a novel model free support vector regressor controller (MF-SVRcontroller) is introduced for nonlinear dynamical systems. For the adaptation mechanism, a model free closed-loop margin which is a function of ... -
Model-free MIMO self-tuning controller based on support vector regression for nonlinear systems
Uçak, Kemal; Öke Günel, Gülay (Springer Science and Business Media Deutschland GmbH, 2021)A model-free self-tuning controller (STC) based on online support vector regression (SVR) is proposed to control nonlinear and multi-input multi-output (MIMO) systems in this paper. MIMO proportional–derivative–integral ... -
A novel adaptive Runge–Kutta controller for nonlinear dynamical systems
Uçak, Kemal (Springer Science and Business Media Deutschland GmbH, 2021)This paper introduces a new Runge–Kutta (RK) integration-based adaptive controller by considering control law as an ODE for nonlinear MIMO systems. It is aimed to derive a novel adaptive controller by regarding the control ... -
A Novel Model Predictive Runge-Kutta Neural Network Controller for Nonlinear MIMO Systems
Uçak, Kemal (Springer, 2020)In this paper, a novel model predictive Runge-Kutta neural network (RK-NN) controller based on Runge-Kutta model is proposed for nonlinear MIMO systems. The proposed adaptive controller structure incorporates system model ... -
Runge-kutta mimo narma-l2 controller
Uçak, Kemal (Ismail Saritas, 2021)This paper introduces a novel control architecture which combines nonlinear autoregressive moving average (NARMA)-L2 control method with Runge Kutta based system modeling. Control law is developed by employing NARMA-L2 ... -
A Runge-Kutta MLP Neural Network Based Control Method for Nonlinear MIMO Systems
Uçak, Kemal (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 ... -
A Runge–Kutta neural network-based control method for nonlinear MIMO systems
Uçak, Kemal (Springer Verlag, 2019)In this paper, a novel Runge–Kutta neural network (RK-NN)-based control mechanism is introduced for multi-input multi-output (MIMO) nonlinear systems. The overall architecture embodies an online Runge–Kutta model which ... -
Safety-Critical Support Vector Regressor Controller for Nonlinear Systems
Uçak, Kemal; Ustoglu, Ilker; Gunel, Gulay Oke (Springer, 2018)In this study, a novel safety-critical online support vector regressor (SVR) controller based on the system model estimated by a separate online SVR is proposed. The parameters of the controller are optimized using closed-loop ...
