Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...

Abstract: This paper compares the performance of Proportional-Integral-Derivative (PID) controller tuning methods for a heat exchanger process using MATLAB simulations. The effectiveness of two ...

Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...

The JUMO favoTRON is a compact PID controller for entry-level applications. It is a two-state and three-state controller with program controller function, autotuning, and universal measurement input ...

Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi ...

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Melaka Malaysia, Melaka, Malaysia. 2 Institut Matematik Kejuruteraan (IMK), Universiti Malaysia Perlis (UniMAP), Perlis, ...

This year I am helping us laugh and possibly learn by making one of my humorous books available to download for free in this year’s first six columns. The fourth book is Logical Thoughts at 4:00 am.

This repo contains the solution to problems such as: 1. Time-Domain Specifications 2. Frequency-Domain Specifications 3. PID Controllers using the Matlab, Simulink and Python. A MATLAB & Simulink ...

Abstract: This paper presents a novel approach for the trajectory tracking control of a three wheeled mobile robot using neural network based nonlinear PID controller combined with the backstepping ...