A robust MPC for input-output LPV models

H.S. Abbas, R. Tóth, N. Meskin, J. Mohammadpour, J. Hanema

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)
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In 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 closedloop 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.
Original languageEnglish
Pages (from-to)4183-4188
JournalIEEE Transactions on Automatic Control
Issue number12
Publication statusPublished - 2016


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