Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities

Based on the interval type-2 fuzzy (IT2F) approach, this article investigates the fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities. Considering that the mode information of the system cannot be obtained synch...

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Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 30; no. 7; pp. 2487 - 2499
Main Authors:	Zhang, Xiang, Wang, Hai, Stojanovic, Vladimir, Cheng, Peng, He, Shuping, Luan, Xiaoli, Liu, Fei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Asynchronous interval type-2 fuzzy (IT2F) filter Error detection Fault detection Filter design (mathematics) Fuzzy sets Hidden Markov models Markov chains Markov processes nonhomogeneous higher level Markov jump systems Parameter uncertainty Probability density functions quarter-car suspension system (QCSS) Suspension systems Symmetric matrices Tires Transition probabilities uncertain transition probabilities Uncertainty
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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