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 IEEE Conference on Decision and Control
Pages6660-6665
Number of pages6
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: 2006 Dec 132006 Dec 15

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
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

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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 IEEE Conference on Decision and Control (pp. 6660-6665). [4178062]