A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and ...

This paper presents a sampled-data Takagi–Sugeno (T–S) fuzzy approach for estimating the limit cycle of free-piston Stirling engines (FPSEs). FPSEs are promising systems for clean and efficient power ...

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

A new method for controlling groups of drones, technically known as unmanned aerial vehicles (UAVs), could make formation ...

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 ...

A hybrid fuzzy–machine learning framework classifies UAV takeoff safety into Safe, Caution and Unsafe categories for Saudi ...

(a) The controller uses Parallel Distributed Compensator (PDC) as the control stratergy and Linear Matrix Inequality (LMI)-based stability conditions to achieve ...