Fixed‐time stabilization for lower‐triangular nonlinear systems with low‐order and high‐order nonlinearities

Abstract This paper investigates the problem of fixed‐time stabilization for a class of lower‐triangular nonlinear systems with high‐order and low‐order nonlinearities. A novel fixed‐time stabilization method is proposed based on an improved gain scaling technique, which features three dynamic parameters that adjust the controller gain in real time. Different from classical iterative design methods based on backstepping, the proposed method avoids the cumbersome iterative design procedures. First, combining the original system states and the dynamic parameters, the auxiliary variables are defined through state transformation, which converts the controller design problem for the considered system into the dynamic parameter design problem for an equivalent system. Subsequently, employing the Lyapunov stability theory, the state‐feedback controller based on dynamic parameters are meticulously designed to achieve the fixed‐time stabilization of the closed‐loop system. It is worth noting that the resulting controller has a simple quasi‐linear form and can be explicitly expressed by the closed‐loop system states. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed control method.

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Publication Details

Journal
Asian Journal of Control
Published
2025-09-03
DOI
https://doi.org/10.1002/asjc.3846
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Fixed‐time stabilization for lower‐triangular nonlinear systems with low‐order and high‐order nonlinearities

Xianfu Zhang, Airong Wei, Mingyue Wu
Asian Journal of Control
Adaptive Control of Nonlinear Systems
article

Fixed‐time stabilization for lower‐triangular nonlinear systems with low‐order and high‐order nonlinearities

Xianfu Zhang, Airong Wei, Mingyue Wu
article en

Abstract

Abstract This paper investigates the problem of fixed‐time stabilization for a class of lower‐triangular nonlinear systems with high‐order and low‐order nonlinearities. A novel fixed‐time stabilization method is proposed based on an improved gain scaling technique, which features three dynamic parameters that adjust the controller gain in real time. Different from classical iterative design methods based on backstepping, the proposed method avoids the cumbersome iterative design procedures. First, combining the original system states and the dynamic parameters, the auxiliary variables are defined through state transformation, which converts the controller design problem for the considered system into the dynamic parameter design problem for an equivalent system. Subsequently, employing the Lyapunov stability theory, the state‐feedback controller based on dynamic parameters are meticulously designed to achieve the fixed‐time stabilization of the closed‐loop system. It is worth noting that the resulting controller has a simple quasi‐linear form and can be explicitly expressed by the closed‐loop system states. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed control method.

Asian Journal of Control
Shandong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Adaptive Control of Nonlinear Systems
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