A Robust MPC for Input-Output LPV Models

Hossam S. Abbas; Roland Tóth; Nader Meskin; Javad Mohammadpour; Jurre Hanema

doi:10.1109/TAC.2016.2553143

A Robust MPC for Input-Output LPV Models

Hossam S. Abbas, Roland Tóth, Nader Meskin, Javad Mohammadpour, Jurre Hanema

Medizinisches Laserzentrum Luebeck GmbH

34 Citations (Scopus)

Abstract

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 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.

Original language	English
Article number	7451228
Journal	IEEE Transactions on Automatic Control
Volume	61
Issue number	12
Pages (from-to)	4183-4188
Number of pages	6
ISSN	0018-9286
DOIs	https://doi.org/10.1109/TAC.2016.2553143
Publication status	Published - 01.12.2016

Funding

This 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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

Academic Focus: Biomedical Engineering

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10.1109/TAC.2016.2553143

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AU - Tóth, Roland

AU - Meskin, Nader

AU - Mohammadpour, Javad

AU - Hanema, Jurre

PY - 2016/12/1

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AB - 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 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.

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A Robust MPC for Input-Output LPV Models

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Funding

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