Quantized feedback stabilization of nonlinear cascaded systems with dynamic uncertainties

Tengfei Liu, Zhong Ping Jiang

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

Abstract

This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic uncertainty is input-to-state stable, asymptotic stabilization can be achieved with the proposed quantized control law.

Original languageEnglish (US)
Title of host publication26th Chinese Control and Decision Conference, CCDC 2014
PublisherIEEE Computer Society
Pages1620-1625
Number of pages6
ISBN (Print)9781479937066
DOIs
StatePublished - 2014
Event26th Chinese Control and Decision Conference, CCDC 2014 - Changsha, China
Duration: May 31 2014Jun 2 2014

Publication series

Name26th Chinese Control and Decision Conference, CCDC 2014

Other

Other26th Chinese Control and Decision Conference, CCDC 2014
CountryChina
CityChangsha
Period5/31/146/2/14

Keywords

  • Quantized control
  • asymptotic stabilization
  • dynamic uncertainties
  • nonlinear systems

ASJC Scopus subject areas

  • Information Systems and Management
  • Control and Systems Engineering

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  • Cite this

    Liu, T., & Jiang, Z. P. (2014). Quantized feedback stabilization of nonlinear cascaded systems with dynamic uncertainties. In 26th Chinese Control and Decision Conference, CCDC 2014 (pp. 1620-1625). [6852427] (26th Chinese Control and Decision Conference, CCDC 2014). IEEE Computer Society. https://doi.org/10.1109/CCDC.2014.6852427