Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation

Le Feng; Jianliang Wang; Engkee Poh; Fang Liao

doi:10.1109/ACC.2007.4282299

Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation

Le Feng, Jianliang Wang, Engkee Poh, Fang Liao

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness.

Original language	English
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	5589-5594
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4282299
Publication status	Published - 2007
Externally published	Yes
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: 9 Jul 2007 → 13 Jul 2007

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	9/07/07 → 13/07/07

Keywords

Asymmetric input constraints
H performance
H performance
Linear matrix inequality
Model predictive control
Multi-objective

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2007.4282299

Cite this

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title = "Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation",

abstract = "This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness.",

keywords = "Asymmetric input constraints, H performance, H performance, Linear matrix inequality, Model predictive control, Multi-objective",

author = "Le Feng and Jianliang Wang and Engkee Poh and Fang Liao",

year = "2007",

doi = "10.1109/ACC.2007.4282299",

language = "English",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

pages = "5589--5594",

booktitle = "Proceedings of the 2007 American Control Conference, ACC",

note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

}

Feng, L, Wang, J, Poh, E & Liao, F 2007, Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation. in Proceedings of the 2007 American Control Conference, ACC., 4282299, Proceedings of the American Control Conference, pp. 5589-5594, 2007 American Control Conference, ACC, New York, NY, United States, 9/07/07. https://doi.org/10.1109/ACC.2007.4282299

Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation. / Feng, Le; Wang, Jianliang; Poh, Engkee et al.
Proceedings of the 2007 American Control Conference, ACC. 2007. p. 5589-5594 4282299 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Poh, Engkee

AU - Liao, Fang

PY - 2007

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N2 - This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness.

AB - This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness.

KW - Asymmetric input constraints

KW - H performance

KW - Linear matrix inequality

KW - Model predictive control

KW - Multi-objective

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M3 - Conference contribution

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BT - Proceedings of the 2007 American Control Conference, ACC

Y2 - 9 July 2007 through 13 July 2007

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Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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