Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems-Reference-Cited by-同舟云学术

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Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems

Published:2023-10 Issue: Volume:146 Page:110690
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Grelewicz Patryk,Nowak Pawel^ORCID,Khuat Thanh Tung^ORCID,Czeczot Jacek^ORCID,Klopot Tomasz^ORCID,Gabrys Bogdan

Funder

Silesian University of Technology

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Control Performance Management in Industrial Automation: Assessment, Diagnosis and Improvement of Control Loop Performance;Jelali,2013

2. The Impact of Control Technology;Samad,2014

3. RAPID: The end of heuristic PID tuning;van Overschee;IFAC Proc.,2000

4. PID control system analysis, design and technology;Ang;IEEE Trans. Control Syst. Technol.,2005

5. The current state of control loop performance monitoring – A survey of application in industry;Bauer;J. Process Control,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective Machine Learning for control performance assessment in PID control loops;IFAC-PapersOnLine;2024

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