The DOI matches its Crossref record.
Finite-Time-Prescribed Performance-Based Adaptive Fuzzy Control for Strict-Feedback Nonlinear Systems With Dynamic Uncertainty and Actuator Faults
Abstract
In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered for a class of strict-feedback systems in the presence of actuator faults and dynamic disturbances. To deal with the difficulties associated with the actuator faults and external disturbance, an adaptive fuzzy fault-tolerant control strategy is introduced. Different from the existing controller design methods, a modified performance function, which is called the finite-time performance function (FTPF), is presented. It is proved that the presented controller can ensure all the signals of the closed-loop system are bounded and the tracking error converges to a predetermined region in finite time. The effectiveness of the presented control scheme is verified through the simulation results.
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Citations
Cited by
Song, X., Sun, P., Song, S., & Stojanovic, V. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08361-y · Cited by 119
Kharrat, M. (2024) · Journal of Applied Mathematics and Computing · doi:10.1007/s12190-024-02042-2 · Cited by 37
Metadata
- Authors
- Wang, H., Bai, W., Zhao, X., & Liu, P. X.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2022-07
- Volume
- 52
- Issue
- 7
- Pages
- 6959-6971
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W3124774482
- Cited by
- 306
- References
- 0
- FWCI
- 25.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
