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Toplam kayıt 6, listelenen: 1-6
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 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 ...
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 ...
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 ...
Adaptive MIMO fuzzy PID controller based on peak observer
(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 ...