Global output feedback stabilization for a class of nonlinear systems with multiple uncertainties

Zong Yao Sun, Kai Zhang, Chih Chiang Chen, Qian Zhao

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates the problem of global output feedback stabilization for a class of nonlinear systems with multiple uncertainties. A remarkable feature lies in that the system to be considered is not only involved dynamic and parametric uncertainties but also the measurement output affected by an uncertain continuous function, which leads to the obstacles in the constructions of a state observer and a controller. By revamping the double-domination approach with the skillful implantation of a dynamic gain scheme and nonnegative integral functions, a new design strategy is established by which a global output feedback stabilizer together with a novel state observer can be constructed successfully. The novelty of the presented design is attributed to a perspective in dealing with the output feedback stabilization undergone the unknown continuous (time-varying) output function and dynamic/parametric uncertainties. Finally, an illustrative example is provided to illustrate the effectiveness of the theoretical results.

Original languageEnglish
Pages (from-to)2623-2641
Number of pages19
JournalJournal of the Franklin Institute
Volume358
Issue number5
DOIs
Publication statusPublished - 2021 Mar

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Applied Mathematics

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