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Fault Detection Filtering for Nonlinear Switched Stochastic Systems
Abstract
In this note, the fault detection filtering problem is solved for nonlinear switched stochastic system in the T-S fuzzy framework. Our attention is concentrated on the construction of a robust fault detection technique to the nonlinear switched system with Brownian motion. Based on observer-based fault detection fuzzy filter as a residual generator, the proposed fault detection is formulated as a fuzzy filtering problem. By the utilization of the average dwell time technique and the piecewise Lyapunov function technique, the fuzzy-parameter-dependent fault detection filters are designed that guarantee the resulted error system to be mean-square exponential stable with a weighted H∞error performance. Then, the corresponding solvability condition for the fault detection fuzzy filter is also established by the linearization procedure technique. Finally, simulation has been presented to show the effectiveness of the proposed fault detection technique.
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Citations
Cited by
Van, M., Ge, S. S., & Ren, H. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2555307 · Cited by 486
Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach
Sun, Y., Chen, B., Lin, C., Wang, H., & Zhou, S. (2016) · Information Sciences · doi:10.1016/j.ins.2016.06.010 · Cited by 304
Niu, B., & Li, L. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2690465 · Cited by 185
Metadata
- Authors
- Su, X., Shi, P., Wu, L., & Song, Y.-D.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2016-05
- Volume
- 61
- Issue
- 5
- Pages
- 1310-1315
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W2342560477
- Cited by
- 517
- References
- 0
- FWCI
- 81.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Su, X., Shi, P., Wu, L., & Song, Y.-D. (2016). Fault Detection Filtering for Nonlinear Switched Stochastic Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2015.2465091
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