Ask the Automation Pros: How Can You Ensure the Best Rate of Change in the PID Manipulated Variable?

What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...
Automation World

Defense Against the Dark (PID Tuning) Arts

Sometimes it can feel like PID tuning is a cross between engineering, mathematics, and the Dark Arts. There are some definitive engineering and mathematical steps to take when tuning a loop (for the ...
IEEE

Autonomous PID Tuning: Two-Phase Reinforcement Learning Through Adversarial Imitation Learning Under Imperfect Demonstrations

Abstract: This paper presents stable reinforcement learning through adversarial imitation learning (SRAIL), a two-phase learning framework for automatic proportional integral derivative (PID) tuning ...
IEEE

Evaluating the ANN Model Performance for PID Controller Tuning in Flow Process Control: A Comparative Study

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 ...
Journal of Medical Internet Research

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
GitHub

RF-DETR: Real-Time SOTA Detection and Segmentation

RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art ...