Predefined-time stabilisation of stochastic low-order nonlinear systems with asymmetric output constraint

This paper researches the predefined-time stabilisation problem for a class of stochastic low-order nonlinear systems with asymmetric output constraint whose nonlinearities satisfy high-order and low-order growth conditions. By introducing a novel nonlinear transformation and utilising the adding a power integrator technique, a continuous state feedback controller is designed. The proposed control scheme can guarantee that the output constraint will not be violated almost surely and the trivial solution of the closed-loop system is stochastic predefined-time stable. Finally, two simulation examples are provided to demonstrate the effectiveness of this control method.

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Publication Details

Journal
International Journal of Systems Science
Published
2024-11-15
DOI
https://doi.org/10.1080/00207721.2024.2428852
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Predefined-time stabilisation of stochastic low-order nonlinear systems with asymmetric output constraint

Gang Sun, Liang Liu
1 citations
International Journal of Systems Science
Adaptive Control of Nonlinear Systems
0.33
article

Predefined-time stabilisation of stochastic low-order nonlinear systems with asymmetric output constraint

Gang Sun, Liang Liu
article en
1 citations

Abstract

This paper researches the predefined-time stabilisation problem for a class of stochastic low-order nonlinear systems with asymmetric output constraint whose nonlinearities satisfy high-order and low-order growth conditions. By introducing a novel nonlinear transformation and utilising the adding a power integrator technique, a continuous state feedback controller is designed. The proposed control scheme can guarantee that the output constraint will not be violated almost surely and the trivial solution of the closed-loop system is stochastic predefined-time stable. Finally, two simulation examples are provided to demonstrate the effectiveness of this control method.

International Journal of Systems ScienceVol. 56(8)
Qufu Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 39%
Adaptive Control of Nonlinear Systems
0.33
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Predefined-time stabilisation of stochastic low-order nonlinear systems with asymmetric output constraint — Gang Sun, Liang Liu · International Journal of Systems Science (2024) | TGRS Research Map | TGRS