Skip to main navigation Skip to search Skip to main content

High-Order Finite-Time Adaptive Command Filtered Backstepping for Strict-Feedback Systems: A FAS Approach

  • Harbin Institute of Technology
  • Óbuda University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an adaptive finite-time command filtered backstepping control scheme for high-order fully actuated strict-feedback systems with parameter uncertainties. By fully exploiting the system's fully actuated and strict-feedback structure, the design process is simplified through the proposed high-order finite-time adaptive command filtered backstepping design. The introduction of a finite-time high-order Levant differentiator effectively avoids the 'explosion of complexity' problem. Finally, by constructing the Lyapunov function, it is proven that all closed-loop system signals achieve uniform ultimate bounded stability within a finite time, with results further validated through simulation.

Original languageEnglish
Title of host publicationProceedings of the 5th Conference on Fully Actuated System Theory and Applications, FASTA 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-129
Number of pages7
ISBN (Electronic)9798319547323
DOIs
StatePublished - 2026
Event5th Conference on Fully Actuated System Theory and Applications, FASTA 2026 - Qinhuangdao, China
Duration: 22 May 202624 May 2026

Publication series

NameProceedings of the 5th Conference on Fully Actuated System Theory and Applications, FASTA 2026

Conference

Conference5th Conference on Fully Actuated System Theory and Applications, FASTA 2026
Country/TerritoryChina
CityQinhuangdao
Period22/05/2624/05/26

Keywords

  • adaptive finite-time control
  • command-filtered backstepping
  • Fully-actuated system approach
  • parameter uncertainties
  • strict-feedback systems

Fingerprint

Dive into the research topics of 'High-Order Finite-Time Adaptive Command Filtered Backstepping for Strict-Feedback Systems: A FAS Approach'. Together they form a unique fingerprint.

Cite this