Trodden, P.A. orcid.org/0000-0002-8787-7432 and Maestre, J.M. (2017) Distributed predictive control with minimization of mutual disturbances. Automatica, 77. pp. 31-43. ISSN 0005-1098
Abstract
In this paper, a distributed model predictive control scheme is proposed for linear, time-invariant dynamically coupled systems. Uniquely, controllers optimize state and input constraint sets, and exchange information about these—rather than planned state and control trajectories—in order to coordinate actions and reduce the effects of the mutual disturbances induced via dynamic coupling. Mutual disturbance rejection is by means of the tube-based model predictive control approach, with tubes optimized and terminal sets reconfigured on-line in response to the changing disturbance sets. Feasibility and exponential stability are guaranteed under provided sufficient conditions on non-increase of the constraint set parameters.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Ltd.. This is an author produced version of a paper subsequently published in Automatica. 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: | Decentralization; time-invariant; control of constrained systems; optimization-based controller synthesis; parametric optimization |
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: | 06 Dec 2016 16:15 |
Last Modified: | 17 Jan 2020 15:15 |
Published Version: | https://doi.org/10.1016/j.automatica.2016.11.023 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.automatica.2016.11.023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108929 |