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An MPC approach for LPV systems in input-output form

المؤلفAbbas, H.S.
المؤلفToth, R.
المؤلفMeskin, Nader
المؤلفMohammadpour, J.
المؤلفHanema, J.
تاريخ الإتاحة2022-04-14T08:45:43Z
تاريخ النشر2015
اسم المنشورProceedings of the IEEE Conference on Decision and Control
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/CDC.2015.7402091
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29806
الملخصIn this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability of the closed-loop system, a quadratic terminal cost along with an ellipsoidal terminal constraint are included in the control optimization problem. The proposed scheme is a robust LPV-MPC scheme, which considers future values of the scheduling variable being uncertain and varying inside a prescribed polytope. The MPC design problem is formulated as a linear matrix inequality (LMI) problem. The effectiveness of the proposed LPV-MPC design is demonstrated using a numerical example. 2015 IEEE.
راعي المشروعQatar National Research Fund
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعClosed loop systems
Linear matrix inequalities
Model predictive control
Optimization
Predictive control systems
Control optimization
Design approaches
Design problems
Discrete-time model
Linear matrix inequality problems
Linear parameter varying models
Scheduling variable
Terminal constraint
Discrete time control systems
العنوانAn MPC approach for LPV systems in input-output form
النوعConference
الصفحات91-96
رقم المجلد54rd IEEE Conference on Decision and Control,CDC 2015
dc.accessType Abstract Only


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