LAPSE:2024.1738v1
Published Article

LAPSE:2024.1738v1
A Semi-Global Finite-Time Dynamic Control Strategy of Stochastic Nonlinear Systems
August 23, 2024
Abstract
In the article, the semi-global finite-time control strategy for stochastic nonlinear systems is studied. Firstly, the general stochastic nonlinear system is considered and the required conditions are provided. An important theorem that helps to construct the controller directly is subsequently obtained by adopting a dynamic gain and homogeneous domination method. The equilibrium of the whole system is semi-global finite-time stable in probability (SGFSP) under the designed controller. Finally, the presented method is successfully applied to a second-order system. Simulation results indicate the effectiveness of the method.
In the article, the semi-global finite-time control strategy for stochastic nonlinear systems is studied. Firstly, the general stochastic nonlinear system is considered and the required conditions are provided. An important theorem that helps to construct the controller directly is subsequently obtained by adopting a dynamic gain and homogeneous domination method. The equilibrium of the whole system is semi-global finite-time stable in probability (SGFSP) under the designed controller. Finally, the presented method is successfully applied to a second-order system. Simulation results indicate the effectiveness of the method.
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Keywords
dynamic gain, homogeneous domination method, semi-global finite-time stable in probability, stochastic nonlinear system
Subject
Suggested Citation
Luo C, Xue L, Liu ZG, Ren L. A Semi-Global Finite-Time Dynamic Control Strategy of Stochastic Nonlinear Systems. (2024). LAPSE:2024.1738v1
Author Affiliations
Luo C: School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China
Xue L: School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China
Liu ZG: School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
Ren L: School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China
Xue L: School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China
Liu ZG: School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
Ren L: School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China
Journal Name
Processes
Volume
12
Issue
7
First Page
1377
Year
2024
Publication Date
2024-07-01
ISSN
2227-9717
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Original Submission
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PII: pr12071377, Publication Type: Journal Article
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Published Article

LAPSE:2024.1738v1
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https://doi.org/10.3390/pr12071377
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[v1] (Original Submission)
Aug 23, 2024
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Aug 23, 2024
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