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A New Approach to Robust MPC Design for LPV Systems in Input-Output Form

المؤلفAbbas, H.S.
المؤلفHanema, J.
المؤلفTcth, R.
المؤلفMohammadpour, J.
المؤلفMeskin, Nader
تاريخ الإتاحة2022-04-14T08:45:41Z
تاريخ النشر2018
اسم المنشورIFAC-PapersOnLine
المصدرScopus
المعرّفhttp://dx.doi.org/10.1016/j.ifacol.2018.11.159
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29788
الملخصIn this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, which is a common form obtained through LPV system identification. The method guarantees asymptotic stability of the closed-loop system and provides integral action for a given piecewise constant reference trajectory based on past measurements of the inputs and outputs. The technique offers computationally more efficient and less conservative design approach compared to previous works. A simulation example is given to demonstrate the effectiveness of the proposed technique. 2018
راعي المشروعEuropean Research Council
اللغةen
الناشرElsevier B.V.
الموضوعAsymptotic stability
Closed loop systems
Convex optimization
Model predictive control
Predictive control systems
Robust control
Conservative designs
Input output constraints
Linear parameter varying systems
Performance
Piece-wise constants
Reference trajectories
Robust model predictive control
Robust stability
System stability
العنوانA New Approach to Robust MPC Design for LPV Systems in Input-Output Form
النوعConference Paper
الصفحات112-117
رقم العدد26
رقم المجلد51


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