A robust MPC for input-output LPV models

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

doi:10.1109/TAC.2016.2553143

A robust MPC for input-output LPV models

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

Research output: Contribution to journal › Article › Academic › peer-review

15 Citations (Scopus)

2 Downloads (Pure)

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 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 language	English
Pages (from-to)	4183-4188
Journal	IEEE Transactions on Automatic Control
Volume	61
Issue number	12
DOIs	https://doi.org/10.1109/TAC.2016.2553143
Publication status	Published - 2016

Access to Document

10.1109/TAC.2016.2553143

Fingerprint Dive into the research topics of 'A robust MPC for input-output LPV models'. Together they form a unique fingerprint.

Cite this

@article{5bfeb0496ff24827ae9aef7b8809cd3a,

title = "A robust MPC for input-output LPV models",

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 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.",

author = "H.S. Abbas and R. T{\'o}th and N. Meskin and J. Mohammadpour and J. Hanema",

year = "2016",

doi = "10.1109/TAC.2016.2553143",

language = "English",

volume = "61",

pages = "4183--4188",

journal = "IEEE Transactions on Automatic Control",

issn = "0018-9286",

publisher = "Institute of Electrical and Electronics Engineers",

number = "12",

}

TY - JOUR

T1 - A robust MPC for input-output LPV models

AU - Abbas, H.S.

AU - Tóth, R.

AU - Meskin, N.

AU - Mohammadpour, J.

AU - Hanema, J.

PY - 2016

Y1 - 2016

N2 - 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.

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 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.

U2 - 10.1109/TAC.2016.2553143

DO - 10.1109/TAC.2016.2553143

M3 - Article

VL - 61

SP - 4183

EP - 4188

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

SN - 0018-9286

IS - 12

ER -