Fuzzy adaptive sliding mode control method is a good way to resolve the control problem when the system mathematic model is unknown. However, reaching condition must be satisfied in this method. In this paper, a kind of fuzzy adaptive variable structure control method is presented in which sliding mode doesn’t exist in closed-loop system. Dynamic fuzzy logical system (DFLS) is introduced to for...

The ship main engine speed control system is a typical nonlinear system and it is uncertain characteristics, It is influenced by the wind, wave, flow etc. So it is difficulted to designed the diesel engine mathematical model. This paper presents a nonlinear mathematical model of ship main engine. Because the active disturbance rejection controller does not depend on the mathematical model of th...

In this study, an adaptive fuzzy sliding-mode control (AFSMC) system with an integral-operation switching surface is adopted to control the position of an electrical servo drive. The AFSMC system is comprised of a fuzzy control design and a hitting control design. In the fuzzy control design a fuzzy controller is designed to mimic a feedback linearization (FL) control law. In the hitting contro...

In this paper, a novel method for the establishment of a sliding mode in a nonlinear system is presented. The method discussed aims to minimize a cost measure, which is a function of the switching sugace. For this purpose, an adaptive fuzzy controller is selected and the parameters of the defuuifier are adjusted such that the cost is minimized and the system is enforced to behave in sliding mod...

In this paper, we address the exact smoothing problem of Conditionally Gaussian Observed Markov Switching Model (CGOMSM). The proposed approach tackles the discontinuity feature in switching regime models by incorporating fuzzy switches instead of hard jumps. Fuzzy switched based approach is more adapted to real-world application in which regime continuity is an intrinsic property. We define, w...

Sliding control guarantees system performance in the presence of modeling uncertainties and parameter inaccuracies. However this is obtained at the price of high control activity that may exacerbate chattering. As one way to alleviate this problem a continuation method using boundary layer around switching is usually used. In this case selecting the control bandwidth and boundary layer thicknes...

A new design technique using a single fuzzy input variable instead of the design method of the switching line to reduce the control rules for a class of nonlinear systems is proposed. This technique only needs a single fuzzy input, and the deriving process is similar to the fuzzy sliding mode control (FSMC) principle, called the single-input quasi fuzzy sliding mode control (SQ-FSMC). First, ch...

This paper is concerned with the fault detection (FD) problem for Takagi–Sugeno (T–S) fuzzy systems with unknown membership functions. If the membership functions are unknown, the linear FD filter designs with fixed gains have been considered in the literature. To reduce the conservatism of the existing results, a switching mechanism that depends on the lower and upper bounds of the unknown mem...