At the core of any modern industrial process is a control system guaranteeing precision, stability, and efficiency. Perhaps the most commonly used are PID (Proportional-Integral-Derivative) ...
Imagine trying to balance a heavy metal ball bearing on a cafeteria tray. It’s not the easiest thing in the world! In fact, it’s perhaps a task better automated, as [skulkami3000] demonstrates with ...
You’ll learn about instrumentation and valves. The article identifies the importance of positioners in fast loops. How first-principle dynamic simulations provide insights into compressor surge, ...
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: In this work, a novel PID-type adaptive iterative learning control (AILC) method is proposed for a class of nonlinear systems with unspecified control gain matrices and bounded ...
This project is an Advanced Driver-Assistance Systems (ADAS) testbed developed in Python using the CARLA Simulator. It features a robust implementation of Lane Keep Assist (LKA) and Adaptive Cruise ...
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