Command filter-based adaptive backstepping controller for high-order uncertain nonlinear systems

This article proposes a command filtering-based adaptive backstepping strategy for a category of uncertain high-order nonlinear systems. The proposed method effectively addresses the explosion of complexity issue. The overall system variables are established to be uniformly ultimately bounded (UUB) based on Lyapunov analysis, and the tracking errors can convergence to a small region around zero. The results of simulation are displayed to demonstrate the presented scheme viability.

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Published
2024-10-01
DOI
https://doi.org/10.1109/icaecot62402.2024.10828852
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Command filter-based adaptive backstepping controller for high-order uncertain nonlinear systems

Ammar Soukkou, Yassine Soukkou, Hicham Khebbache, Mokhtar Nibouche et al.
Adaptive Control of Nonlinear Systems
article

Command filter-based adaptive backstepping controller for high-order uncertain nonlinear systems

Ammar Soukkou, Yassine Soukkou, Hicham Khebbache, Mokhtar Nibouche, Mohamed Tadjine
article en

Abstract

This article proposes a command filtering-based adaptive backstepping strategy for a category of uncertain high-order nonlinear systems. The proposed method effectively addresses the explosion of complexity issue. The overall system variables are established to be uniformly ultimately bounded (UUB) based on Lyapunov analysis, and the tracking errors can convergence to a small region around zero. The results of simulation are displayed to demonstrate the presented scheme viability.

University of Jijel (DZ), University of the West of England (GB), Polytechnic School of Algiers (DZ), Research Center in Industrial Technologies (DZ)
Openalex Percentile: Top 70%
Adaptive Control of Nonlinear Systems
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Command filter-based adaptive backstepping controller for high-order uncertain nonlinear systems — Ammar Soukkou, Yassine Soukkou, et al. · (2024) | TGRS Research Map | TGRS