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AuthorAbbas, Hossam S.
AuthorToth, Roland
AuthorMeskin, Nader
AuthorMohammadpour, Javad
AuthorHanema, Jurre
Available date2021-04-01T12:34:17Z
Publication Date2016
Publication NameIEEE Transactions on Automatic Control
ResourceScopus
URIhttp://dx.doi.org/10.1109/TAC.2016.2553143
URIhttp://hdl.handle.net/10576/18078
AbstractIn this note, a discrete-time robust model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying models in input-output form subject to constraints. To ensure the stability of the closed-loop system, a quadratic terminal cost along with an ellipsoidal terminal constraint are included in the control optimization problem. The MPC design problem is formulated as a linear matrix inequality problem. The proposed MPC scheme is applied on a continuously stirred tank reactor as an illustrative example.
SponsorThis work was supported by National Priorities Research Program (NPRP) Grant 5-574-2-233 from the Qatar National Research Fund (a member of the Qatar Foundation). Recommended by Associate Editor M. Alamir.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectLinear matrix inequalities; linear parametervarying systems; predictive control; robustness; stability
TitleA Robust MPC for Input-Output LPV Models
TypeArticle
Pagination4183-4188
Issue Number12
Volume Number61
dc.accessType Abstract Only


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