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Fixed-Time Command Filtered Adaptive Backstepping Control for Uncertain Nonlinear Systems With Zero-Error Tracking

Bin Wang, Changchun Hua*, Hao Li

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The problem of command-filter-based adaptive fixed-time tracking control is investigated for nonlinear systems with time-varying uncertain parameters and disturbances in this article. Existing fixed-time control strategies via an adaptive approach are primarily bounded-error, trajectory tracking-oriented. Different from previous results, we propose a new fixed-time stability lemma utilizing an exponential decay function. Then, by leveraging the proposed lemma and command filtered backstepping technique, a novel adaptive fixed-time control scheme is constructed, which can reduce the computational complexity and completely counteract uncertain parameters. We demonstrate that the tracking error enters a neighborhood near zero within a fixed-time and ultimately converges to zero. Furthermore, through the incorporation of a piecewise function into both the filter error compensation system and virtual control laws, the second-order derivability of virtual control laws is guaranteed, thereby ensuring the validity of the command filter. Finally, the proposed strategy’s effectiveness is confirmed through simulation results. © 2026 IEEE.
Original languageEnglish
Number of pages12
JournalIEEE Transactions on Cybernetics
Online published3 Mar 2026
DOIs
Publication statusOnline published - 3 Mar 2026

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant U24A20271 and Grant U22A2050, in part by the Science Fund of Hebei Province under Grant F2023203100 and Grant F2024203134, in part by the Science and Technology Development Grant of Hebei Province under Grant 20311803D, in part by Hebei Innovation Capability Improvement Plan Project under Grant 22567619H, in part by the Central Guidance on Local Science and Technology Development Fund of Hebei Province under Grant 246Z1812G, in part by the Innovation Leading Talent Team Project at Higher Education Institutions in Hebei Province, in part by the Key Research Projects in Fundamental Sciences at Higher Education Institutions in Hebei Province under Grant 241791007A, and in part by the Basic Operating Funds of Hebei University of Science and Technology under Grant 2023XLZ001.

Research Keywords

  • Adaptive control
  • command filter
  • fixed-time control
  • uncertain nonlinear systems
  • zero-error tracking

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