A global fast terminal sliding mode controller with fast terminal adaptive fuzzy approximator is proposed for general single input single output nonlinear systems. The finite time convergence property of the fast terminal sliding mode is used in the design of the controller. It is applied not only in the reaching phase and the sliding phase of the sliding mode control system, but also in the adaptive fuzzy approximator for the unknown nonlinear system. Stability of the control system and convergence of the approximation are proved
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in thi...
[[abstract]]A fuzzy sliding mode controller (FSMC) by combining fuzzy logic control and sliding-mode...
In this brief, a fast terminal dynamics is proposed and used in the design of the sliding-mode contr...
A global fast terminal sliding mode controller with fast terminal adaptive fuzzy approximator is pro...
This paper presents a detailed discussion about the convergence properties of a variable structure c...
A new design approach of an adaptive fuzzy terminal sliding mode controller for linear systems with ...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Abstract:- In this paper, the principle of sliding mode control is used as a basis to develop an ada...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Fuzzy sliding mode control as a robust and intelligent nonlinear control technique is proposed to co...
Abstract — In this work, we are interested to fuzzy indirect adaptive control for SISO nonlinear sys...
We propose a terminal sliding mode control (SMC) law based on adaptive fuzzy-neural observer for non...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in thi...
[[abstract]]A fuzzy sliding mode controller (FSMC) by combining fuzzy logic control and sliding-mode...
In this brief, a fast terminal dynamics is proposed and used in the design of the sliding-mode contr...
A global fast terminal sliding mode controller with fast terminal adaptive fuzzy approximator is pro...
This paper presents a detailed discussion about the convergence properties of a variable structure c...
A new design approach of an adaptive fuzzy terminal sliding mode controller for linear systems with ...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Abstract:- In this paper, the principle of sliding mode control is used as a basis to develop an ada...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Fuzzy sliding mode control as a robust and intelligent nonlinear control technique is proposed to co...
Abstract — In this work, we are interested to fuzzy indirect adaptive control for SISO nonlinear sys...
We propose a terminal sliding mode control (SMC) law based on adaptive fuzzy-neural observer for non...
This paper presents a new training method for fuzzy neural network (FNN) systems to approximate unkn...
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in thi...
[[abstract]]A fuzzy sliding mode controller (FSMC) by combining fuzzy logic control and sliding-mode...
In this brief, a fast terminal dynamics is proposed and used in the design of the sliding-mode contr...