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Processes 2015, 3(1), 25-45;

The Effect of Coincidence Horizon on Predictive Functional Control

Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
Institute of Process Engineering and Plant Design, Laboratory of Process Control, Cologne University of Applied Sciences, Betzdorfer Str. 2, D-50679 Koln, Germany
Author to whom correspondence should be addressed.
Academic Editor: Gabriele Pannocchia
Received: 15 October 2014 / Accepted: 12 December 2014 / Published: 8 January 2015
(This article belongs to the Special Issue Process Control: Current Trends and Future Challenges)
Full-Text   |   PDF [223 KB, uploaded 8 January 2015]


This paper gives an analysis of the efficacy of PFC strategies. PFC is widely used in industry for simple loops with constraint handling, as it is very simple and cheap to implement. However, the algorithm has had very little exposure in the mainstream literature. This paper gives some insight into when a PFC approach is expected to be successful and, conversely, when one should deploy with caution. View Full-Text
Keywords: PFC; tuning; model predictive control PFC; tuning; model predictive control
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rossiter, J.A.; Haber, R. The Effect of Coincidence Horizon on Predictive Functional Control. Processes 2015, 3, 25-45.

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