Parametric uncertainty bounds for stabilizing receding horizon H controls

Choon Ki Ahn, Soohee Han, Wookhyun Kwon

Research output: Contribution to journalArticle

Abstract

This letter presents parametric uncertainty bounds (PUBs) for stabilizing receding horizon <Hscr>(∞) control (RHHC). The proposed PUBs are obtained easily by solving convex optimization problems represented by linear matrix inequalities (LMIs). We show, by numerical example, that the RHHC can guarantee a <Hscr>(∞) norm bound for a larger class of uncertain systems than conventional infinite horizon <Hscr>(∞) control (IHHC).

Original languageEnglish
Pages (from-to)2433-2436
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE89-A
Issue number9
DOIs
Publication statusPublished - 2006 Sep 1
Externally publishedYes

Fingerprint

Parametric Uncertainty
Horizon
Uncertain systems
Convex optimization
Linear matrix inequalities
Receding Horizon Control
Infinite Horizon
Uncertain Systems
Convex Optimization
Matrix Inequality
Linear Inequalities
Optimization Problem
Norm
Numerical Examples
Uncertainty

Keywords

  • Linear matrix inequality (LMI)
  • Parametric uncertainty bound (PUB)
  • Receding horizon H control (RHHC)
  • Uncertain systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

Cite this

Parametric uncertainty bounds for stabilizing receding horizon H controls. / Ahn, Choon Ki; Han, Soohee; Kwon, Wookhyun.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E89-A, No. 9, 01.09.2006, p. 2433-2436.

Research output: Contribution to journalArticle

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