Rossiter, J.A. and Richalet, J. (2001) Handling Constraints with Predictive Functional Control of Unstable Processes. Research Report. ACSE Research Report 807 . Department of Automatic Control and Systems Engineering
Abstract
This paper tackles 2 major issues. The first is to develop a new means of including constraint handling for unstable processes into the industrial successful and computationally efficient algorithm, predictive functional control (PFC) ; the benefits are illustrated. The second is to show how the technique to be proposed has recursive feasibility in the nominal case, that is feasibility now implies feasibility at the next sampling instant. This is known to be essential for robust stabilisation of unstable processes.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Keywords: | Predictive Functional Control; Computational Efficiency; Constraint Handling |
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) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 27 Jan 2015 12:07 |
Last Modified: | 22 Mar 2018 03:40 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 807 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83118 |