This paper is concerned with the adaptive sliding mode control problem of uncertain nonlinear systems. Interval type-2 Takagi-Sugeno (T-S) fuzzy model is employed to represent uncertain nonlinear systems. The input matrices of the nonlinear systems are allowed to be different for the sliding mode controller design. The uncertain parameters are described by the lower and upper membership functions. An integral sliding mode surface is designed for analysis of sliding motion. Based on the sliding mode surface, a novel sliding mode controller is designed to guarantee that the closed-loop system is uniformly ultimately bounded. Some simulation results are given to illustrate the effectiveness of the presented control scheme
In this paper, a robust adaptive type-2 fuzzy nonsingular sliding mode controller is designed to sta...
This paper is devoted to design adaptive sliding-mode\ud controllers for the Takagi–Sugeno (T–S) fuz...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
This paper investigates the problem of adaptive integral sliding mode control for general Takagi-Sug...
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in thi...
This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in th...
Published version of an article in the journal: Mathematical Problems in Engineering. Also available...
This paper is devoted to design adaptive sliding-mode controllers for the Takagi-Sugeno (T--S) fuzzy...
Sliding mode control is a nonlinear, deterministic, robust control method and treated as a subclass ...
This paper presents a detailed discussion about the convergence properties of a variable structure c...
Sliding mode control is a nonlinear, deterministic, robust control method and treated as a subclass ...
In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (T-S) fuzzy sy...
Abstract. This paper presents an adaptive sliding-mode control algorithm for uncertain nonlinear sys...
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...
In this paper, a robust adaptive type-2 fuzzy nonsingular sliding mode controller is designed to sta...
This paper is devoted to design adaptive sliding-mode\ud controllers for the Takagi–Sugeno (T–S) fuz...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
This paper investigates the problem of adaptive integral sliding mode control for general Takagi-Sug...
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in thi...
This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in th...
Published version of an article in the journal: Mathematical Problems in Engineering. Also available...
This paper is devoted to design adaptive sliding-mode controllers for the Takagi-Sugeno (T--S) fuzzy...
Sliding mode control is a nonlinear, deterministic, robust control method and treated as a subclass ...
This paper presents a detailed discussion about the convergence properties of a variable structure c...
Sliding mode control is a nonlinear, deterministic, robust control method and treated as a subclass ...
In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (T-S) fuzzy sy...
Abstract. This paper presents an adaptive sliding-mode control algorithm for uncertain nonlinear sys...
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...
In this paper, a robust adaptive type-2 fuzzy nonsingular sliding mode controller is designed to sta...
This paper is devoted to design adaptive sliding-mode\ud controllers for the Takagi–Sugeno (T–S) fuz...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...