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Toplam kayıt 11, listelenen: 1-10
Safety-Critical Support Vector Regressor Controller for Nonlinear Systems
(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 ...
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 ...
A Novel Model Predictive Runge-Kutta Neural Network Controller for Nonlinear MIMO Systems
(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 ...
An adaptive sliding mode controller based on online support vector regression for nonlinear systems
(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
(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 ...
A Runge–Kutta neural network-based control method for nonlinear MIMO systems
(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 ...
A novel adaptive Runge–Kutta controller for nonlinear dynamical systems
(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 ...
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 ...
Model-free MIMO self-tuning controller based on support vector regression for nonlinear systems
(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 ...
Runge-kutta mimo narma-l2 controller
(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 ...