[[abstract]]A functional-linked cerebellar model neural network (FCMNN) equipped with sine-cosine perturbed Gaussian basis functions to online approximate an unknown nonlinear term in the system dynamics of a DC motor driver is proposed in this paper. The sine-cosine perturbation in the Gaussian basis functions possessing the ability of handling rule uncertainties is quite useful for real-time applications. Then, an intelligent total sliding-mode control (ITSMC) system which is composed of a computation controller and a robust compensator is proposed.[[notice]]補正完
An adaptive discrete-time tracking controller for a direct current motor with controlled excitation ...
In this paper, a novel optimal adaptive-gains super-twisting sliding-mode control (OAGSTSMC) using a...
To cope with the nonlinear electro-magneto-mechanical characteristics, this paper proposes a perturb...
[[abstract]]A functional-linked cerebellar model neural network (FCMNN) equipped with sine–cosine pe...
[[abstract]]This paper proposes an intelligent complementary sliding-mode control (ICSMC) system whi...
[[abstract]]In this paper, a recurrent perturbation fuzzy neural network (RPFNN) is used to online a...
This letter deals with the design of a novel neural network based integral sliding mode (NN-ISM) con...
This letter deals with the design of a novel neural network based integral sliding mode (NN-ISM) con...
In this paper, an adaptive neural sliding mode controller (ANSMC) is proposed as an asymptotically s...
[[abstract]]In this paper, an intelligent nonsingular terminal sliding-mode control (INTSMC) system,...
In this paper, a novel sliding mode adaptive controller with function approximation form is proposed...
In order to solve the problem that the control system of permanent magnet synchronous motor (PMSM) i...
This paper proposes a new robust adaptive cerebellar model articulation controller (CMAC) neural net...
In this paper, based on fuzzy neural networks, we develop an adaptive sliding mode controller for ch...
DC motor systems have played an important role in the improvement and development of the industrial ...
An adaptive discrete-time tracking controller for a direct current motor with controlled excitation ...
In this paper, a novel optimal adaptive-gains super-twisting sliding-mode control (OAGSTSMC) using a...
To cope with the nonlinear electro-magneto-mechanical characteristics, this paper proposes a perturb...
[[abstract]]A functional-linked cerebellar model neural network (FCMNN) equipped with sine–cosine pe...
[[abstract]]This paper proposes an intelligent complementary sliding-mode control (ICSMC) system whi...
[[abstract]]In this paper, a recurrent perturbation fuzzy neural network (RPFNN) is used to online a...
This letter deals with the design of a novel neural network based integral sliding mode (NN-ISM) con...
This letter deals with the design of a novel neural network based integral sliding mode (NN-ISM) con...
In this paper, an adaptive neural sliding mode controller (ANSMC) is proposed as an asymptotically s...
[[abstract]]In this paper, an intelligent nonsingular terminal sliding-mode control (INTSMC) system,...
In this paper, a novel sliding mode adaptive controller with function approximation form is proposed...
In order to solve the problem that the control system of permanent magnet synchronous motor (PMSM) i...
This paper proposes a new robust adaptive cerebellar model articulation controller (CMAC) neural net...
In this paper, based on fuzzy neural networks, we develop an adaptive sliding mode controller for ch...
DC motor systems have played an important role in the improvement and development of the industrial ...
An adaptive discrete-time tracking controller for a direct current motor with controlled excitation ...
In this paper, a novel optimal adaptive-gains super-twisting sliding-mode control (OAGSTSMC) using a...
To cope with the nonlinear electro-magneto-mechanical characteristics, this paper proposes a perturb...