Parametric uncertainty bounds for stabilizing receding horizon H controls

Choonki Ahn, Soohee Han, Wookhyun Kwon

Research output: Contribution to journalArticlepeer-review

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 Sept
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

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

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