Enhanced Command Filter-Based Adaptive Asymptotic Backstepping Tracking Control and Its Application

We propose an adaptive backstepping-based asymptotic control scheme for a class of nonlinear systems with uncertain dynamics. By employing the enhanced command filter, the virtual stabilizing functions are reconstructed to solve the zero-error regulation problem. Then, a novel adaptive control strategy is introduced to improve the system performance in the presence of uncertain functions. Compared with existing command-filtered backstepping controllers, the standard error compensation mechanism is not required in our controller. System performance analysis shows that the asymptotic convergence of the tracking error is guaranteed under our control method. Finally, the effectiveness of the proposed asymptotic control strategy is validated by using simulation results.

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Publication Details

Journal
Electronics
Published
2026-01-22
DOI
https://doi.org/10.3390/electronics15020470
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced Command Filter-Based Adaptive Asymptotic Backstepping Tracking Control and Its Application

Dexu Wang, Jiapeng Liu
Electronics
Adaptive Control of Nonlinear Systems
article

Enhanced Command Filter-Based Adaptive Asymptotic Backstepping Tracking Control and Its Application

Dexu Wang, Jiapeng Liu
article en

Abstract

We propose an adaptive backstepping-based asymptotic control scheme for a class of nonlinear systems with uncertain dynamics. By employing the enhanced command filter, the virtual stabilizing functions are reconstructed to solve the zero-error regulation problem. Then, a novel adaptive control strategy is introduced to improve the system performance in the presence of uncertain functions. Compared with existing command-filtered backstepping controllers, the standard error compensation mechanism is not required in our controller. System performance analysis shows that the asymptotic convergence of the tracking error is guaranteed under our control method. Finally, the effectiveness of the proposed asymptotic control strategy is validated by using simulation results.

ElectronicsVol. 15(2)
Qingdao University (CN)
Openalex Percentile: Top 79%
Adaptive Control of Nonlinear Systems
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Enhanced Command Filter-Based Adaptive Asymptotic Backstepping Tracking Control and Its Application — Dexu Wang, Jiapeng Liu · Electronics (2026) | TGRS Research Map | TGRS