Fault detection for saturated nonlinear system subject to redundant channel and additive time‐varying delays

Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, w...

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Published inInternational journal of adaptive control and signal processing Vol. 38; no. 11; pp. 3540 - 3560
Main Authors Wu, Zhihui, Zhao, Xue, Ma, Siteng, Chen, Dongyan
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.11.2024
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ISSN0890-6327
1099-1115
DOI10.1002/acs.3889

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Abstract Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, which can contribute to improving the probability of successfully delivering the measurements. A FD filter is designed to generate residual signals, and the sufficient criteria are established to ensure the stochastic finite‐time stability (SFTS) of the residual system with H∞$$ {H}_{\infty } $$ performance constraint by constructing new Lyapunov‐Krasovskii functionals. Based on the established criteria, the explicit expression of the desired FD filter is obtained via solving a set of linear matrix inequalities (LMIs). Finally, the usefulness of the proposed FD scheme is verified by a simulation example.
AbstractList Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, which can contribute to improving the probability of successfully delivering the measurements. A FD filter is designed to generate residual signals, and the sufficient criteria are established to ensure the stochastic finite‐time stability (SFTS) of the residual system with H∞$$ {H}_{\infty } $$ performance constraint by constructing new Lyapunov‐Krasovskii functionals. Based on the established criteria, the explicit expression of the desired FD filter is obtained via solving a set of linear matrix inequalities (LMIs). Finally, the usefulness of the proposed FD scheme is verified by a simulation example.
Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems with two additive time‐varying delay components. In the addressed measurement model, the sensor is assumed to have two communication channels, which can contribute to improving the probability of successfully delivering the measurements. A FD filter is designed to generate residual signals, and the sufficient criteria are established to ensure the stochastic finite‐time stability (SFTS) of the residual system with performance constraint by constructing new Lyapunov‐Krasovskii functionals. Based on the established criteria, the explicit expression of the desired FD filter is obtained via solving a set of linear matrix inequalities (LMIs). Finally, the usefulness of the proposed FD scheme is verified by a simulation example.
Author Ma, Siteng
Chen, Dongyan
Zhao, Xue
Wu, Zhihui
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Snippet Under the influence of sensor saturation and packet dropout, this paper is concerned with the fault detection (FD) problem for a class of nonlinear systems...
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SubjectTerms additive time‐varying delays
Fault detection
finite‐time stability
Linear matrix inequalities
Nonlinear systems
packet dropouts
redundant channel
sensor saturation
Stability criteria
Time measurement
Title Fault detection for saturated nonlinear system subject to redundant channel and additive time‐varying delays
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Facs.3889
https://www.proquest.com/docview/3124279365
Volume 38
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