Dughman, S.S. and Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2017) Systematic and effective embedding of feedforward of target information into MPC. International Journal of Control, 93 (1). pp. 98-112. ISSN 0020-7179
Abstract
Discussions on how to make effective use of advance information on target changes are discussed relatively rarely in the predictive control literature. While earlier work has indicated that the default solutions from conventional predictive control algorithms are often poor, very little work has proposed systematic alternatives. This paper proposes an embedding structure for utilising advance information on target changes within an optimum predictive control law. The proposed embedding is shown to be systematic and beneficial. Moreover, it allows for easy extension to deal with more challenging scenarios such as unreachable set points and guarantees of convergence/stability in the uncertain case.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of a paper subsequently published in International Journal of Control. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | OMPC; guaranteed stability; coincidence horizon; monotonicity |
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: | 23 Nov 2016 16:15 |
Last Modified: | 30 Jun 2023 13:46 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/00207179.2017.1281439 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107940 |