Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance ...

This project implements an advanced control system using a Neural Network-Fuzzy Logic-based Self-tuned PID Controller to optimize the performance and stability of an Autonomous Underwater Vehicle (AUV ...

Discussion: These results suggest that the CHAQS methodology significantly enhances the performance of educational Q&A systems, demonstrating the effectiveness of combining advanced tuning techniques ...

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 ...

Finally, MATLAB is used to code, build the visual interface of parking lot and vehicles, and draw the cyclic iterative function to detect the vehicle position and direction angle, so as to act as a ...

Learn how fuzzy logic works, how to design a fuzzy controller, and what are the benefits and challenges of using fuzzy logic for control systems.

This paper proposes a fuzzy sliding mode-inspired control (FSMIC) technique for the five-degrees-of-freedom (DOF) AMB system in the presence of system uncertainties and measurement noises. The fuzzy ...

In this paper, we introduce the design of T-S fuzzy control for a model car via interval type-2 Takagi-Sugeno fuzzy logic system (IT2T-S FLS). Due to type-2 fuzzy system provides additional design ...