The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems
Abstract
This paper concentrates upon the problem of finite-time fault-tolerant control for a class of switched nonlinear systems in lower-triangular form under arbitrary switching signals. Both loss of effectiveness and bias fault in actuator are taken into account. The method developed extends the traditional finite-time convergence from nonswitched lower-triangular nonlinear systems to switched version by designing appropriate controller and adaptive laws. In contrast to the previous results, it is the first time to handle the fault tolerant problem for switched system while the finite-time stability is also necessary. Meanwhile, there exist unknown internal dynamics in the switched system, which are identified by the radial basis function neural networks. It is proved that under the presented control strategy, the system output tracks the reference signal in the sense of finite-time stability. Finally, an illustrative simulation on a resistor-capacitor-inductor circuit is proposed to further demonstrate the effectiveness of the theoretical result.
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Citations
Cites
Finite-Time Stability of Continuous Autonomous Systems
Bhat, S. P., & Bernstein, D. S. (2000) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012997321358 · Cited by 5,510
Stability and Stabilizability of Switched Linear Systems: A Survey of Recent Results
Lin, H., & Antsaklis, P. J. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.2012009 · Cited by 2,671
Attitude stabilization of rigid spacecraft with finite‐time convergence
Zhu, Z., Xia, Y., & Fu, M. (2011) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1624 · Cited by 1,003
Liu, Y.-J., & Tong, S. (2017) · Automatica · doi:10.1016/j.automatica.2016.10.011 · Cited by 828
Self-citationAsynchronously switched control of switched linear systems with average dwell time
Zhang, L., & Gao, H. (2010) · Automatica · doi:10.1016/j.automatica.2010.02.021 · Cited by 787
Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
Li, Y., Tong, S., Liu, L., & Feng, G. (2017) · Automatica · doi:10.1016/j.automatica.2017.02.005 · Cited by 668
Self-citationLiu, Y.-J., Lu, S., Tong, S., Chen, X., Chen, C. L. P., & Li, D.-J. (2018) · Automatica · doi:10.1016/j.automatica.2017.07.028 · Cited by 655
Self-citationTong, S., Zhang, L., & Li, Y. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2426131 · Cited by 539
Self-citationRussell, E. L., Chiang, L. H., & Braatz, R. D. (2000) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(00)00058-7 · Cited by 525
Zhang, H., Zhang, J., Yang, G.-H., & Luo, Y. (2015) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2014.2310238 · Cited by 519
Cited by
Ma, L., Huo, X., Zhao, X., Niu, B., & Zong, G. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.04.049 · Cited by 111
Event-Triggered Fuzzy Adaptive Fixed-Time Tracking Control for Nonlinear Systems
Hu, X., Li, Y.-X., & Hou, Z. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3035779 · Cited by 101
Ma, L., & Liu, L. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2019.2922393 · Cited by 79
Self-citationNahian, S. A., Dinh, T. Q., Dao, H. V., & Ahn, K. K. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.3013609 · Cited by 29
Wan, Z., Liu, C., & Fu, Y. (2025) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312241266687 · Cited by 4
Metadata
- Authors
- Liu, L., Liu, Y.-J., & Tong, S.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2019-07
- Volume
- 49
- Issue
- 7
- Pages
- 2536-2545
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2800384809
- Cited by
- 481
- References
- 44
- FWCI
- 47.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, L., Liu, Y.-J., & Tong, S. (2019). Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2018.2828308
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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