Zonotopic state estimation and fault detection for systems with time-invariant uncertainties

Wang, Zhenhua; Tang, Wen; Zhang, Qinghua; Puig, V.; Shen, Yi

doi:10.1016/j.ifacol.2018.09.622

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…The observer based fault estimation method for switched systems has been concerned in the works herein, such as [11,34]. Considering the uncertainties in practical systems, the interval observers were proved to be very useful in the estimation of faults for uncertain systems [27]. The interval observer was designed for switched systems by the monotone theory for the first time [13].…”

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confidence: 99%

Interval estimation methods of fault estimation for discrete-time switched systems

Huang¹,

Zhang²,

Chen³

et al. 2023

JIMO

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<p style='text-indent:20px;'>This paper investigates the fault estimation problem for discrete-time switched systems. Firstly, the sensor fault is regarded as an augmented state, and then the original system is converted into a singular system. After that, based on the obtained singular system, a robust augmented state observer is designed using <inline-formula><tex-math id="M1">\begin{document}$ L_{\infty} $\end{document}</tex-math></inline-formula> technique. Given above robust augmented state observer, an interval observer based on the zonotope method is established to complete the fault interval estimation. Finally, a circuit system is simulated to illustrate the efficiency of the proposed method.</p>

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confidence: 99%