Finite-time output feedback control for a class of stochastic low-order nonlinear systems with output function

This paper studies the problem of finite-time output feedback stabilisation for a class of stochastic low-order nonlinear systems with output function. Under the assumption that output function is continuous, by generalising the adding a power integrator technique, constructing a new implementable reduced-order observer and using the stochastic finite-time stability criterion, the maximal open sector Ω of output function is given. As long as output function belongs to any closed sector included in Ω, an output feedback controller can be developed to guarantee finite-time stability in probability of the closed-loop system. A simulation example is provided to verify the effectiveness of the proposed design method.

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Publication Details

Journal
International Journal of Systems Science
Published
2024-10-11
DOI
https://doi.org/10.1080/00207721.2024.2414125
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Finite-time output feedback control for a class of stochastic low-order nonlinear systems with output function

Mengmeng Jiang, Qiqi Ni
International Journal of Systems Science
Adaptive Control of Nonlinear Systems
article

Finite-time output feedback control for a class of stochastic low-order nonlinear systems with output function

Mengmeng Jiang, Qiqi Ni
article en

Abstract

This paper studies the problem of finite-time output feedback stabilisation for a class of stochastic low-order nonlinear systems with output function. Under the assumption that output function is continuous, by generalising the adding a power integrator technique, constructing a new implementable reduced-order observer and using the stochastic finite-time stability criterion, the maximal open sector Ω of output function is given. As long as output function belongs to any closed sector included in Ω, an output feedback controller can be developed to guarantee finite-time stability in probability of the closed-loop system. A simulation example is provided to verify the effectiveness of the proposed design method.

International Journal of Systems ScienceVol. 56(5)
Liaocheng University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Adaptive Control of Nonlinear Systems
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