Finite‐Time Control of Time‐Varying Delay Nonlinear Systems With Multiple Disturbances

ABSTRACT The finite‐time control problem is studied for a type of nonlinear systems with time‐varying delay and multiple disturbances. The disturbances include external disturbances with partly known information and stochastic noises. A stochastic disturbance observer (SDO) is constructed to estimate external disturbances, and stochastic noises are handled by the control method. Then a finite‐time anti‐disturbance controller is designed by combing the disturbance observer–based control (DOBC), control, and finite‐time stability theory, which ensures the closed‐loop stochastic system is finite‐time bounded. Eventually, the validity of the control scheme is verified by a simulation example.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-04-21
DOI
https://doi.org/10.1002/rnc.7958
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Finite‐Time Control of Time‐Varying Delay Nonlinear Systems With Multiple Disturbances

Xinjiang Wei, Junjie Han, Huifeng Zhang
International Journal of Robust and Nonlinear Control
Adaptive Control of Nonlinear Systems
article

Finite‐Time Control of Time‐Varying Delay Nonlinear Systems With Multiple Disturbances

Xinjiang Wei, Junjie Han, Huifeng Zhang
article en

Abstract

ABSTRACT The finite‐time control problem is studied for a type of nonlinear systems with time‐varying delay and multiple disturbances. The disturbances include external disturbances with partly known information and stochastic noises. A stochastic disturbance observer (SDO) is constructed to estimate external disturbances, and stochastic noises are handled by the control method. Then a finite‐time anti‐disturbance controller is designed by combing the disturbance observer–based control (DOBC), control, and finite‐time stability theory, which ensures the closed‐loop stochastic system is finite‐time bounded. Eventually, the validity of the control scheme is verified by a simulation example.

International Journal of Robust and Nonlinear ControlVol. 35(12)
Ludong University (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 92%
Adaptive Control of Nonlinear Systems
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