Abstract
This paper considered a fault tolerant control (FTC) method for a class of nonlinear systems. Based on the neural network approximation theory, the unknown nonlinear functions is approximated by neural network, with which, an adaptive FTC method is introduced. With the proposed method, the actuator faults are compensated and the tracking error are maintained in the banded region all the times. Finally, an attitude control simulation is considered to illustrate the effectiveness of the proposed method. It is shown that in the case of possible actuator failures, this method can effectively achieve control objectives, ensuring system stability and high-precision control effects.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (NSFC) under Grant 62073197, Grant 61933006, and the Special Funding for Top Talents of Shandong Province.
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Wang, Z., Lin, Y., Li, L. (2023). Adaptive Fault-Tolerant Control for a Class of Nonlinear Systems. In: Jia, Y., Zhang, W., Fu, Y., Wang, J. (eds) Proceedings of 2023 Chinese Intelligent Systems Conference. CISC 2023. Lecture Notes in Electrical Engineering, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-99-6882-4_30
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DOI: https://doi.org/10.1007/978-981-99-6882-4_30
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