Adaptive quantized fuzzy backstepping control of uncertain nonlinear system

Chia Wen Chang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

Abstract

An adaptive quantized fuzzy backstepping controller (AQFBC) is proposed in this study for a strict state feedback nonlinear system with quantized input signal and uncertainties. The designed control scheme contains a backstepping controller, adaptive law, and fuzzy compensator. The main controller in the quantized nonlinear system is based on the backstepping technique. The unknown parameters of the nonlinear system with uncertainties are estimated using an adaptive law. A fuzzy compensator is proposed to guarantee the system stability, which is affected by the quantized input signal. Finally, the effectiveness of the AQFBC is demonstrated using two numerical examples.

Original languageEnglish
Pages (from-to)613-620
Number of pages8
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume45
Issue number7
DOIs
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 The Chinese Institute of Engineers.

Keywords

  • Backstepping control
  • fuzzy control
  • quantized control

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