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Observer-Based Adaptive Fuzzy Fault-Tolerant Optimal Control for SISO Nonlinear Systems
Abstract
This paper investigates adaptive fuzzy output feedback fault-tolerant optimal control problem for a class of single-input and single-output nonlinear systems in strict feedback form. The considered nonlinear systems contain unknown nonaffine nonlinear faults and unmeasured states. Fuzzy logic systems are used to approximate cost function and unknown nonlinear functions, respectively. It is assumed that the states of the systems to be controlled are unmeasurable, thus an adaptive state observer is developed. To solve the nonaffine nonlinear fault control design problem, filtered signals are introduced into the adaptive backstepping control design procedures, and in the framework of adaptive critic technique and fault-tolerant control technique, a novel adaptive fuzzy fault-tolerant optimal control scheme is developed. The stability of the closed-loop system is proved by using Lyapunov stability theory. The simulation results verify the effectiveness of the proposed control strategy.
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Cites
A Robust Observer-Based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles
Kommuri, S. K., Defoort, M., Karimi, H. R., & Veluvolu, K. C. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2590993 · Cited by 408
Cited by
Adaptive Finite-Time Tracking Control of Nonlinear Systems With Dynamics Uncertainties
Wang, H., Xu, K., & Zhang, H. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3226703 · Cited by 342
Reinforcement learning-based optimal tracking control of an unknown unmanned surface vehicle
Wang, N., Gao, Y., Zhao, H., & Ahn, C. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3009214 · Cited by 322
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle
Wang, N., Gao, Y., & Zhang, X. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3056444 · Cited by 282
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
Self-citationPhan, V. D., Vo, C. P., Dao, H. V., & Ahn, K. K. (2021) · IEEE Access · doi:10.1109/access.2021.3101038 · Cited by 44
Metadata
- Authors
- Li, Y., Sun, K., & Tong, S.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2019-02
- Volume
- 49
- Issue
- 2
- Pages
- 649-661
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2782127155
- Cited by
- 378
- References
- 1
- FWCI
- 28.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, Y., Sun, K., & Tong, S. (2019). Observer-Based Adaptive Fuzzy Fault-Tolerant Optimal Control for SISO Nonlinear Systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2017.2785801
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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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