An expert’s journey to implementing best process control via instrumentation, control strategies and PID control ...

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 ...

AI is transforming traditional PID controllers with adaptive tuning, predictive maintenance, and smarter control, boosting ...

Subject matter experts from Control Station, Emerson, Endress+Hauser, Rockwell Automation, Seeq and Siemens Digital Industries share how manufacturing companies are cutting ...

Adaptive, real-time control in a high-mix, temperature-sensitive environment - this was the challenge faced by Rutland Plastics in automating the insertion of M8 brass inserts into plastic assemblies ...

🍀 CLOVER employs a text-conditioned video diffusion model for generating visual plans as reference inputs, then these sub-goals guide the feedback-driven policy to ...

Precision is everything when it comes to microsurgery. A few microns—smaller than the width of a human hair—can mean the ...

Here is a clip of one of the sample workflows in action, showcasing utilizing cycles to achieve iterative generation with different models and image sizes: ...

Abstract: This article concerns output synchronization (OSyn) and proportional-integral-derivative (PID) control problems for networks with directed and multiple output communications. Outer coupling ...

Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794-2275, United States Department of Chemistry, Stony Brook University, Stony Brook, New York ...