Robustness bound for receding horizon finite memory control: Lyapunov-Krasovskii approach

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

This article presents a robustness bound (RB) of receding horizon finite memory control (RHFMC) (Kwon, W.H., and Han, S. (2004), Receding Horizon Finite Memory Controls of Output Feedback Controls for State Space Systems, IEEE Transactions on Automatic Control, 49, 1905-1915) for continuous-time state-space systems with norm-bounded uncertainties. The proposed RB is easily obtained by solving a convex problem in terms of a linear matrix inequality. We show through a numerical example that the RHFMC can guarantee the robust stabilisation for a larger class of uncertain systems than linear quadratic Gaussian controls when some poles of closed-loop systems are close to an imaginary axis in the complex plane.

Original languageEnglish
Pages (from-to)942-949
Number of pages8
JournalInternational Journal of Control
Volume85
Issue number7
DOIs
Publication statusPublished - 2012 Jul 1
Externally publishedYes

Fingerprint

Data storage equipment
Uncertain systems
Linear matrix inequalities
Closed loop systems
Feedback control
Poles
Stabilization

Keywords

  • linear matrix inequality
  • receding horizon finite memory control
  • robust stabilisation
  • robustness bound
  • uncertain systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Robustness bound for receding horizon finite memory control : Lyapunov-Krasovskii approach. / Ahn, Choon Ki.

In: International Journal of Control, Vol. 85, No. 7, 01.07.2012, p. 942-949.

Research output: Contribution to journalArticle

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