Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! Start building smart, efficient, and reliable systems today! Control Engineering is at the heart of almost ...

The paper discusses means to adapt the braking pressure to changing road conditions by analyzing the relation between brake torque and slip ratio in real time. No additional sensory inputs are used.

Abstract: This paper presents advanced control strategies to enhance the stability and trajectory tracking performance of quadrotor systems. The study investigates three control methodologies: the ...

Fuzzy logic-based washing machine controller using Mamdani inference. Determines washing time based on dirtiness and load size. Implements fuzzification, rule evaluation, aggregation, and ...

The Line Following Robot project demonstrates the use of a Fuzzy Logic Controller (FLC) to control a two-wheel differential drive robot that follows a line. The robot uses sensors to detect the line ...

Fuzzy control is based on either expert knowledge or experimental data and, therefore, it possesses intrinsic qualities like robustness and ease of implementation. The mathematical modeling for fuzzy ...

In this paper, the authors present a concept of using the fuzzy logic condition cooperated with VHSIC Verilog Hardware Description Language programming (VHDL) for controlling a hexapod robot to walk ...