Automation and control of the thermal mixing process
Author:
Affiliation:
1. School of Mechatronic Engineering, Santo Tomas University, Bucaramanga, Colombia
Funder
Santo Tomas University
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Control and Optimization,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/21642583.2023.2177769
Reference13 articles.
1. Akbariza M. v. Handoko D. & Prajitno P. (2021 February). Temperature and water level control in a multi-input multioutput process using neuro-fuzzy controller. In Journal of Physics: Conference Series (Vol. 1816 No. 1 p. 012022). IOP Publishing.
2. Ausberger T. Kubíček K. Medvecová P. Myslivec T. & Štětina M. (2020). Model checking application on function block diagram model. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (Vol. 1 pp. 1807–1814). IEEE.
3. A GEMMA-GRAFCET Methodology to enable Digital Twin based on Real-Time Coupling
4. Active Disturbance Rejection and PID Control of a One-stage Refrigeration Cycle
5. Commission I. I. E. (2003). IEC 61131-3-Programmable Controllers–Part 3: programming Languages. CH Geneva.
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