Zhang, Z., Rossiter, J. orcid.org/0000-0002-1336-0633, Xie, L. et al. (1 more author) (2020) Predictive functional control for integrator systems. Journal of The Franklin Institute, 357 (7). pp. 4171-4186. ISSN 0016-0032
Abstract
This paper presents a novel modification and insights in the topic of predictive functional control (PFC) [1, 2]. Of particular interest is the consistency between the predictions deployed by PFC and the desired closed-loop behaviour. This paper focuses on integrator systems which pose some challenges to a conventional PFC algorithm and compares and contrasts two simple alternative but very effective modifications (one of which is novel) which enable better consistency of predictions and thus enable easier tuning and more reliable closed-loop behaviour. These insights are used to give some conclusions and proposals for how more challenging dynamics might be handled.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Franklin Institute. This is an author produced version of a paper subsequently published in Journal of The Franklin Institute. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | predictive functional control; OFPFC; LPFC; integrator systems; prediction design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Jan 2020 13:29 |
Last Modified: | 24 Mar 2021 01:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jfranklin.2020.01.026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156208 |