Abstract: In this paper a regenerative braking energy recovery control strategy for electric vehicle (EV) based on fuzzy logic control is proposed. By analyzing the characteristic and the influence ...

Abstract: In this paper, it is aimed to achieve fuzzy logic control of a simple 2-link robot manipulator via Robotics and Fuzzy Logic Toolboxes of MATLAB©. The blocks from these toolboxes were blended ...

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

Aerial manipulation systems are highly attractive for various applications due to their distinctive features. However, the systems discussed in the literature are constrained by either a restricted ...

In this research, we carried out the modeling of the ball and beam system (BBS) within the MATLAB/Simulink framework by applying both proportional-integral-derivative (PID) and fuzzy logic control ...

MathWorks has unveiled Release 2022b (R2022b) of the MATLAB and Simulink product families. R2022b introduces two new products and several enhanced features that simplify and automate Model-Based ...

With the increase of the penetration rate of wind power in the power grid, the high proportion of renewable energy and the high proportion of power electronic equipment in the power system will ...

This repository is a MATLAB simulation of adaptive fuzzy sliding mode control for robot manipulator. The robot manipulator uses sawyer 4-dof manipulator and prototype 3-dof manipulator. we compare to ...

jfuzzylite is a free and open-source fuzzy logic control library programmed in Java for multiple platforms (e.g., Windows, Linux, Mac, Android). fuzzylite is the equivalent library written in C++ for ...