A program that can do Process Identification and PID Tuning by using Deep Learning designed for people studying and researching chemical engineering. A method of approximating a process to First Order ...

Abstract: In this paper, the authors deal with the questions of use case-oriented process identification. Based on a real world example, implementation problems such as experiment planning under real ...

AUDIC is a fully automated adaptive predictive controller based on dynamic process identification technology. Offering superior control performance compared to traditional PID controllers, AUDIC ...

In the grave situations of mass disasters, including manmade and natural such as terrorist attacks, wars and earthquakes, floods, fires, and many more, the impact and loss of life are immense. The ...

Abstract: Availability of an accurate and robust dynamic model is essential for implementing the model dependent process control. When first principles based modeling becomes difficult, tedious and/or ...

The gas-to-liquid (GTL) process generates considerable amounts of wastewater that are highly acidic and characterized by its high chemical oxygen demand (COD) content, due to the presence of several ...