Non-fragile observers design for nonlinear systems with unknown Lipschitz constant

In this paper, the problem of globally asymptotically stable non-fragile observer design is investigated for nonlinear systems with unknown Lipschitz constant.Firstly, a definition of globally asymptotically stable non-fragile observer is given for nonlinear systems.Then, an observer function of output is derived by an output filter, and a dynamic high-gain is constructed to deal with unknown Lipschitz constant.Even the observer gains contain diverse large disturbances, the observer errors are proven to converge to the origin based on Lyapunov stability theorem and a matrix inequality.Finally, an experimental simulation is provided to confirm the validity of the proposed method.

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Publication Details

Journal
Kybernetika
Published
2024-09-20
DOI
https://doi.org/10.14736/kyb-2024-4-0475
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33

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article

Non-fragile observers design for nonlinear systems with unknown Lipschitz constant

Yanjun Shen, Fan Zhou, Zebin Wu
1 citations
Kybernetika
Adaptive Control of Nonlinear Systems
0.33
article

Non-fragile observers design for nonlinear systems with unknown Lipschitz constant

Yanjun Shen, Fan Zhou, Zebin Wu
article en
1 citations

Abstract

In this paper, the problem of globally asymptotically stable non-fragile observer design is investigated for nonlinear systems with unknown Lipschitz constant.Firstly, a definition of globally asymptotically stable non-fragile observer is given for nonlinear systems.Then, an observer function of output is derived by an output filter, and a dynamic high-gain is constructed to deal with unknown Lipschitz constant.Even the observer gains contain diverse large disturbances, the observer errors are proven to converge to the origin based on Lyapunov stability theorem and a matrix inequality.Finally, an experimental simulation is provided to confirm the validity of the proposed method.

Kybernetika
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 42%
Adaptive Control of Nonlinear Systems
0.33
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