Integration of electric vehicle charging stations with the distribution grid rises the grid current
harmonics. In this article, a sustainable bidirectional electric vehicle charging station in the …

A computational model with intelligent machine learning for analysis of epidemiological
data, is proposed. The innovations of adopted methodology consist of an interval type-2 …

The surface contamination of electrical insulators can increase the electrical conductivity of
these components, which may lead to faults in the electrical power system. During …

This paper explores the complementary benefits of embedding a deep learning model as a
fully data-driven fuzzy implication operator of a five-layer neuro-fuzzy system for learning …

This paper presents a computational model based on interval type-2 fuzzy systems for
analysis and forecasting of COVID-19 dynamic spreading behavior. The proposed …

Keeping into view the human-brain-like capabilities, a novel adaptive control scheme
utilizing a defuzzification module has been designed in an effort to endow the control …

In this work, an adaptive multiple model pre‐assigned exponential convergence control
scheme based on the time varying exponential function is demonstrated for a class of …

The problem of fault diagnosis (FD) and fault-tolerant control (FTC) for a class of nonlinear
time-varying delay stochastic distribution control (SDC) systems with actuator and sensor …

In this paper, a mathematical model based on the TS fuzzy model is proposed to solve the
fault estimation (FE) and fault-tolerant control (FTC) problem for singular nonlinear time …

In this paper, a methodology for design of Kalman filter, using interval type-2 fuzzy systems,
in discrete time domain, via spectral decomposition of experimental data, is proposed. The …