Simultaneous Sensor and Actuator Fault Reconstruction by Using a Sliding Mode Observer, Fuzzy Stability Analysis, and a Nonlinear Optimization Tool

Simultaneous Sensor and Actuator Fault Reconstruction by Using a Sliding Mode Observer, Fuzzy Stability Analysis, and a Nonlinear Optimization Tool

This paper proposes a Takagi–Sugeno (TS) fuzzy sliding mode observer (SMO) for simultaneous actuator and sensor fault reconstruction in a class of nonlinear systems subjected to unknown disturbances. First, the nonlinear system is represented by a TS fuzzy model with immeasurable premise variables....

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Bibliographic Details
Main Authors: Samira Asadi, Mehrdad Moallem, G. Gary Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
actuator and sensor faults
TS fuzzy system
sliding mode observer (SMO)
<i>H</i><sub>∞</sub> performance
non-quadratic Lyapunov function (NQLF)
fmincon
Online Access:https://www.mdpi.com/1424-8220/22/18/6866

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https://www.mdpi.com/1424-8220/22/18/6866

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