Comments on “Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation”

Abstract This brief paper points out a serious flaw in the proofs of Theorems 1 and 2 of [Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation, Asian J. Control 24 (2022), 3475–3493], making the proposed controllers therein untenable. It also points out several flaws in the proposed approach of the above paper and presents the corrections.

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Publication Details

Journal
Asian Journal of Control
Published
2025-05-19
DOI
https://doi.org/10.1002/asjc.3714
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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Comments on “Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation”

Yuxin Su
Asian Journal of Control
Adaptive Control of Nonlinear Systems
article

Comments on “Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation”

Yuxin Su
article en

Abstract

Abstract This brief paper points out a serious flaw in the proofs of Theorems 1 and 2 of [Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation, Asian J. Control 24 (2022), 3475–3493], making the proposed controllers therein untenable. It also points out several flaws in the proposed approach of the above paper and presents the corrections.

Asian Journal of Control
Xidian University (CN)
Openalex Percentile: Top 88%
Adaptive Control of Nonlinear Systems
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Comments on “Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation” — Yuxin Su · Asian Journal of Control (2025) | TGRS Research Map | TGRS