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Toplam kayıt 3, listelenen: 1-3
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 ...
Adaptive Sliding Mode Control based on SVR
(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 ...