A review of the applications of interval type-2 fuzzy logic in intelligent control has been
considered in this paper. The fundamental focus of the paper is based on the basic reasons …

In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (TS)
fuzzy systems with actuator saturation and system uncertainty. By the delta operator …

This paper focuses on the sliding mode control (SMC) problem of interval type-2 (IT2) fuzzy
systems subject to the unmeasurable state and cyberattacks. A key issue is how to design a …

Numerous types of hybridizations between type 2 fuzzy logic system (T2FLS) and sliding
mode control (SMC) have been proposed to construct an intelligent and robust controller …

An intelligent second-order sliding-mode control (I2OSMC) using a wavelet fuzzy neural
network with an asymmetric membership function (WFNN-AMF) estimator is proposed in this …

Determining a network size for a fuzzy neural network structure is very important, and it is
often difficult to obtain the most suitable value. This study develops a self-evolving function …

Dynamic control, including robotic control, faces both the theoretical challenge of obtaining
accurate system models and the practical difficulty of defining uncertain system bounds. To …

This paper focuses on the problem of adaptive fuzzy control for a class of nonlinear systems
without a strict-feedback form. A new adaptive fuzzy control scheme is proposed for …

This paper proposes an adaptive sliding-mode antisway control law for uncertain overhead
cranes with high-speed hoisting motion. Since the sway dynamics are disturbed by the …

This work presents a design of interval type-2 fuzzy brain emotional learning control
(T2FBELC) combining with the self-evolving algorithm to help the network to automatically …