iTCLab PID Control Tuning Using Deep Learning-Reference-Cited by-同舟云学术

iTCLab PID Control Tuning Using Deep Learning

Published:2023-10-18 Issue: Volume:2023 Page:1-4
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Container-title:2023 IEEE 9th Information Technology International Seminar (ITIS)
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Author:

Rahmat Basuki¹,Waluyo Minto²,Rachmanto Tuhu Agung³,Agussalim ¹,Pratama Alfan Rizaldy⁴,Muljono Muljono⁵,Diyasa I Gede Susrama Mas¹,Swari Made Hanindia Prami⁶,Hendrasarie Novirina³

Affiliation:

1. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Information Technology Masters Department,Surabaya,Indonesia

2. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Industrial Engineering Department,Surabaya,Indonesia

3. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Environmental Engineering Department,Surabaya,Indonesia

4. Center for Research and Innovation on Advanced Transportation Electrification - Politeknik Elektronika,Negeri Surabaya,Indonesia

5. Universitas Dian Nuswantoro,Computer Science Department,Semarang,Indonesia

6. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Informatics Department,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419870/10419872/10420130.pdf?arnumber=10420130

Reference15 articles.

1. Benchmark temperature microcontroller for process dynamics and control

2. Controllers and Compensators Design for Undergraduate Control Students: Testing with TCLab Arduino kit

3. Fuzzy Smith Predictor vs Smith Predictor: An experimental evaluation for a thermal process with dead time

4. PID based on Sliding Mode Control Design from a Reduced Order Model: A Practical Evaluation

5. Maximum Likelihood Estimation of Linear Disturbance Models for Offset-free Model Predictive Control