Asynchronous fault detection for interval Type-2 fuzzy nonhomogeneous Higher-level Markov jump systems with uncertain transition probabilities

X. Zhang; H. Wang; V. Stojanovic; P. Cheng; S. He; X. Luan; F. Liu

doi:10.1109/TFUZZ.2021.3086224

Back

Asynchronous fault detection for interval Type-2 fuzzy nonhomogeneous Higher-level Markov jump systems with uncertain transition probabilities

Journal article

Peer reviewed

Asynchronous fault detection for interval Type-2 fuzzy nonhomogeneous Higher-level Markov jump systems with uncertain transition probabilities

X. Zhang, H. Wang, V. Stojanovic, P. Cheng, S. He, X. Luan and F. Liu

IEEE Transactions on Fuzzy Systems, Vol.30(7), pp.2487-2499

2021

DOI: https://doi.org/10.1109/TFUZZ.2021.3086224

Files and links (1)

url

Link to Published Version *Subscription may be requiredView

Abstract

Based on the interval type-2 fuzzy (IT2F) approach, this paper 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 synchronously by the filter, the hidden Markov model can be seen as a detector to handle this asynchronous problem, and the parameter uncertainty can be processed by the IT2F approach with the lower and upper membership functions. Then, the asynchronous IT2F filter is designed to deal with the fault detection problem. Furthermore, the Gaussian transition probability density function is introduced to describe the uncertainty transition probabilities of the system and the filter. Based on Lyapunov theory, the existence of the designed asynchronous IT2F filter and the dissipativity of the filter error system can be well ensured. The simulation study on a quarter-car suspension system verifies that the designed asynchronous IT2F filter can detect faults without error alarms.

Details

Title: Asynchronous fault detection for interval Type-2 fuzzy nonhomogeneous Higher-level Markov jump systems with uncertain transition probabilities
Authors/Creators: X. Zhang (Author/Creator) - Anhui University
H. Wang (Author/Creator) - Murdoch University
V. Stojanovic (Author/Creator) - University of Kragujevac
P. Cheng (Author/Creator) - Anhui University
S. He (Author/Creator) - Anhui University
X. Luan (Author/Creator) - Jiangnan University
F. Liu (Author/Creator) - Jiangnan University
Publication Details: IEEE Transactions on Fuzzy Systems, Vol.30(7), pp.2487-2499
Publisher: IEEE
Identifiers: 991005542140807891
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Journal article

Metrics

64 Record Views

195 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Highly Cited Paper

Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.29 Automation & Control Systems; 4.29.30 Robust Control Systems
Web Of Science research areas: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic
ESI research areas: Engineering