More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
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.
Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...
Stable and efficient PID controller in C with anti-windup, derivative filtering, and simulated plant response for step input tracking. Python implementation of the Matlab Pulse Transitions Library.
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 ...
Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team has proposed a novel proportional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results