LAPSE:2023.2067
Published Article
LAPSE:2023.2067
Recent Developments in Tuning Methods for Predictive Functional Control
John Anthony Rossiter, Muhammad Saleheen Aftab
February 21, 2023
Abstract
Predictive functional control (PFC) is a popular alternative to PID because it exploits model information better and enables systematic constraint handling while also being cheap and computationally efficient. A recent overview paper reviewed some recent proposals for improving the tuning efficacy. This paper extends and develops upon that review paper by introducing some exciting new proposals for how to making tuning more intuitive and, thus, easier for unskilled operators. Moreover, there are early indications that these proposals are easily modified for use in nonlinear cases while maintaining a very low cost and a simple and fast online computation.
Keywords
challenging dynamics, predictive control, stability properties, tuning
Suggested Citation
Rossiter JA, Aftab MS. Recent Developments in Tuning Methods for Predictive Functional Control. (2023). LAPSE:2023.2067
Author Affiliations
Rossiter JA: Department of Automatic Control and System Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK [ORCID]
Aftab MS: Department of Automatic Control and System Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
Journal Name
Processes
Volume
10
Issue
7
First Page
1398
Year
2022
Publication Date
2022-07-18
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10071398, Publication Type: Journal Article
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LAPSE:2023.2067
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https://doi.org/10.3390/pr10071398
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