Quantized 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, a novel recursive design method is developed 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 publication2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages881-886
Number of pages6
ISBN (Electronic)9781479970964
DOIs
StatePublished - Sep 2 2015
Event12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China
Duration: Aug 2 2015Aug 5 2015

Publication series

Name2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015

Other

Other12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
Country/TerritoryChina
CityBeijing
Period8/2/158/5/15

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering
  • Mechanical Engineering

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