Global sampled-data output-feedback stabilization for nonlinear systems with unknown measurement sensitivity

Pan Wang, Lin Chai, Chih Chiang Chen, Shumin Fei

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper investigates the problem of global output-feedback stabilization by sampled-data control for nonlinear systems with unknown measurement sensitivity. By employing the technique of output-feedback domination, a sampled-data output-feedback control law together with a sampled-data state observer is explicitly constructed. By an exquisite selection of both the domination gain and sampling period, the resultant control law is a globally asymptotic stabilizer even in the presence of unknown measurement sensitivity. The novelty of this paper is the development of a distinct approach which can tackle the problem of output-feedback stabilization for the nonlinear systems with unknown measurement sensitivity.

Original languageEnglish
Pages (from-to)4909-4927
Number of pages19
JournalInternational Journal of Robust and Nonlinear Control
Volume29
Issue number14
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Chemical Engineering(all)
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Global sampled-data output-feedback stabilization for nonlinear systems with unknown measurement sensitivity'. Together they form a unique fingerprint.

Cite this