Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems-Reference-Cited by-同舟云学术

Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems

Published:2023-07 Issue:7 Volume:53 Page:4226-4238
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Grelewicz Patryk¹^ORCID,Khuat Thanh Tung²^ORCID,Czeczot Jacek¹^ORCID,Nowak Pawel¹^ORCID,Klopot Tomasz¹^ORCID,Gabrys Bogdan²^ORCID

Affiliation:

1. Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland

2. Complex Adaptive Systems Laboratory, The Data Science Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

Funder

BKM

European Union through the European Social Fund

SUT–Subsidy for Maintaining and Developing the Research Potential in 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10153805/10056346.pdf?arnumber=10056346

Reference50 articles.

1. Improved process monitoring based on global–local manifold analysis and statistical local approach for industrial process