Baldivieso Monasterios, P. and Trodden, P. orcid.org/0000-0002-8787-7432 (2019) Model predictive control of linear systems with preview information: feasibility, stability and inherent robustness. IEEE Transactions on Automatic Control, 64 (9). pp. 3831-3838. ISSN 0018-9286
Abstract
The use of available disturbance predictions within a nomi- nal model predictive control formulation is studied. The main challenge that arises is the loss of recursive feasibility and stability guarantees when a persistent disturbance is present in the model and on the system. We show how standard stabilizing terminal conditions may be modified to account for the use of disturbances in the prediction model. Robust stability and feasibility are established under the assumption that the disturbance change across sampling instances is limited.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Linear systems; Uncertain systems; Predictive control for linear systems; Constrained control |
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: | 04 Dec 2018 14:20 |
Last Modified: | 11 Nov 2021 10:51 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TAC.2018.2886156 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139567 |