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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

Chen, Mou, Shi, Peng, Lim, Cheng-Chew·2016·IEEE Transactions on Systems, Man, and Cybernetics: Systems

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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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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CoChat. (2026). Citation check: Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System. https://app.cochat.ai/papers/10.1109/tsmc.2015.2426140
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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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