The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System
Abstract
In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three degrees of freedom model helicopter, subject to system uncertainties, unknown external disturbances, and actuator faults. To tackle system uncertainty and nonlinear actuator faults, a neural network disturbance observer is developed based on the radial basis function neural network. The unknown external disturbance and the unknown neural network approximation errors are treated as a compound disturbance that is estimated by another nonlinear disturbance observer. A disturbance observer-based adaptive neural fault-tolerant control scheme is then developed to track the desired system output in the presence of system uncertainty, external disturbance, and actuator faults. The stability of the whole closed-loop system is analyzed using the Lyapunov method, which guarantees the convergence of all closed-loop signals. Finally, the simulation results are presented to illustrate the effectiveness of the new control design techniques.
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Cites
A nonlinear disturbance observer for robotic manipulators
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Disturbance Observer Based Control for Nonlinear Systems
Chen, W.-H. (2004) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2004.839034 · Cited by 1,452
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
Self-citationAdaptive Neural Control of Uncertain MIMO Nonlinear Systems
Ge, S. S., & Wang, C. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.826130 · Cited by 971
Chen, C. L. P., Wen, G.-X., Liu, Y.-J., & Wang, F.-Y. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2302477 · Cited by 634
Tong, S., Huo, B., & Li, Y. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2241770 · Cited by 560
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Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems
Chen, C. L. P., Liu, Y.-J., & Wen, G.-X. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2262935 · Cited by 507
Adaptive Fault-Tolerant Tracking Control Against Actuator Faults With Application to Flight Control
Ye, D., & Yang, G.-H. (2006) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.883191 · Cited by 506
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Cited by
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
Liu, Y.-J., Lu, S., Li, D., & Tong, S. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2633007 · Cited by 284
RISE-Based Asymptotic Prescribed Performance Tracking Control of Nonlinear Servo Mechanisms
Wang, S., Na, J., & Ren, X. (2018) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2017.2769683 · Cited by 159
Adaptive neural control for non-strict-feedback nonlinear systems with input delay
Wang, H., Liu, S., & Yang, X. (2020) · Information Sciences · doi:10.1016/j.ins.2019.09.043 · Cited by 152
Adaptive Intelligent Control of Nonaffine Nonlinear Time-Delay Systems With Dynamic Uncertainties
Wang, H., Sun, W., & Liu, P. X. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2627048 · Cited by 151
Gao, Y.-C., Shen, G., Li, X., Zhu, Z.-C., & Wang, Q.-G. (2025) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2024.3435746 · Cited by 25
Metadata
- Authors
- Chen, M., Shi, P., & Lim, C.-C.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2016-02
- Volume
- 46
- Issue
- 2
- Pages
- 260-270
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2240923019
- Cited by
- 414
- References
- 32
- FWCI
- 39.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, M., Shi, P., & Lim, C.-C. (2016). Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2015.2426140
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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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