This paper presents an adaptive interval type-2 fuzzy sliding mode controller for a class of unknown nonlinear discrete-time systems with training data corrupted by noise or rule uncertainties involving external disturbances. Adaptive interval type-2 fuzzy control scheme and sliding mode control (SMC) approach are incorporated to implement the main objective of controlling the plant to track a ...

One of the most important challenges in nonlinear, multi-input multi-output (MIMO) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. This paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. The sliding mode fuzzy controller (SMFC) was designed as 7 rules Mamdani’s infer...

One of the most important challenges in nonlinear, multi-input multi-output (MIMO) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. This paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. The sliding mode fuzzy controller (SMFC) was designed as 7 rules Mamdani’s infer...

. Abstract: This paper presents a Fuzzy sliding mode controller (FSMC) used as a control technique for a Single phase AC/DC boost PFC converter for achieving high power factor and regulated voltage. The controller possesses the merits of both fuzzy controller and variable structure controller. The considered controller has advantages such as robustness when there is a large line and load variat...

An adaptive-fuzzy-identification-based sliding-mode control (AFISMC) design method is proposed to control an Linear Ultrasonic Motor (LUSM). Since the dynamic characteristic of the LUSM is difficult to obtain and the motor parameters are time varying, the AFISMC system is derived to automatically adjust the fuzzy rules without using any plant model of the LUSM. In the proposed AFISMC design met...

The synthesis algorithms of modern control theory and fuzzy logic have been studied to upgrade the performances of SMC. In this paper, Fuzzy sliding mode control, which takes the features of both SMC and FLC to overcome the disadvantage of chattering and enhancing the robustness of the controller, is presented. The fuzzy sliding mode controller is designed for a class of non linear dynamic syst...

This In this paper, a new self-tuning control scheme is developed for a class of time-delay chaotic systems. It is implemented by using fuzzy sliding-mode control with self-tuning method. The adjustment of the membership functions are restricted within a stable range derived from a stability analysis. The adaptation laws are derived using a Lyapunov stability analysis, so that both system track...

This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy sliding-mode techniques. From the Lagrangian analysis, the dynamic model of a differential wheeled robot can be obtained. A fuzzy sliding-mode controller is derived for leader-follower formation control based on graph theory and consensus algorithm. Moreover, an adaptive law is provid...