Robustness bounds for receding horizon controls of continuous-time systems with uncertainties

Choon Ki Ahn; Soo Hee Han; Wook Hyun Kwon

doi:10.1093/ietfec/e89-a.4.1122

Robustness bounds for receding horizon controls of continuous-time systems with uncertainties

Choon Ki Ahn, Soo Hee Han, Wook Hyun Kwon

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

Abstract

This letter presents robustness bounds (RBs) for receding horizon controls (RHCs) of uncertain systems. The proposed RBs are obtained easily by solving convex problems represented by linear matrix inequalities (LMIs). We show, by numerical examples, that the RHCs can guarantee robust stabilization for a larger class of uncertain systems than conventional linear quadratic regulators (LQRs).

Original language	English
Pages (from-to)	1122-1125
Number of pages	4
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E89-A
Issue number	4
DOIs	https://doi.org/10.1093/ietfec/e89-a.4.1122
Publication status	Published - 2006 Apr
Externally published	Yes

Keywords

Linear matrix inequality (LMI)
Receding horizon control (RHC)
Robustness bound (RB)
Uncertain systems

ASJC Scopus subject areas

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1093/ietfec/e89-a.4.1122

Cite this

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AB - This letter presents robustness bounds (RBs) for receding horizon controls (RHCs) of uncertain systems. The proposed RBs are obtained easily by solving convex problems represented by linear matrix inequalities (LMIs). We show, by numerical examples, that the RHCs can guarantee robust stabilization for a larger class of uncertain systems than conventional linear quadratic regulators (LQRs).

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KW - Receding horizon control (RHC)

KW - Robustness bound (RB)

KW - Uncertain systems

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ER -

Robustness bounds for receding horizon controls of continuous-time systems with uncertainties

Abstract

Keywords

ASJC Scopus subject areas

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