Robustness bound for receding horizon finite memory control of continuous-time state-space systems

Choon Ki Ahn, Soo Hee Han, Wook Hyun Kwon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a robustness bound (RB) of receding horizon finite memory controls (RHFMC) [1] for continuous-time state-space systems with norm-bounded uncertainties. The proposed RB is obtained easily by solving a convex problem in terms of a linear matrix inequality (LMI). We show through numerical examples that the RHFMC can guarantee the robust stabilization for a larger class of uncertain systems than LQG controls when some poles of closed-loop systems are close to the imaginary axis in the complex plane.

Original languageEnglish
Title of host publicationProceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6660-6665
Number of pages6
ISBN (Print)1424401712, 9781424401710
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: 2006 Dec 132006 Dec 15

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other45th IEEE Conference on Decision and Control 2006, CDC
CountryUnited States
CitySan Diego, CA
Period06/12/1306/12/15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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  • Cite this

    Ahn, C. K., Han, S. H., & Kwon, W. H. (2006). Robustness bound for receding horizon finite memory control of continuous-time state-space systems. In Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC (pp. 6660-6665). [4178062] (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/cdc.2006.377267