Abstract
This study focuses on the secure tracking control problem of fixed-wing aircraft with multiple output sensors under sparse attacks and measurement noise, where the main challenge is to achieve secure state estimation. An output estimation method based on the Grubbs test is proposed to exclude outliers before estimation to improve the estimated accuracy. Moreover, an event-triggered mechanism is designed to transmit data only when more than half of the measurement data meet the triggering conditions, thereby alleviating the interference of sparse attacks with normal triggering. Based on the event-triggered output estimation, an extended high-gain state observer is designed, which ensures the output prediction accuracy by using the reference output, and estimates the matched model uncertainty as an extended state to decrease the estimation errors. Finally, the tracking controller is designed with the estimated states. The control performance of the proposed method is verified by a numerical simulation.
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Acknowledgements
This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 62121004, 62141606, 62033003, and 62003098, the Local Innovative and Research Teams Project of Guangdong Special Support Program under Grant No. 2019BT02X353, and the Key Area Research and Development Program of Guangdong Province under Grant No. 2021B0101410005.
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Chen, G., Li, XM., Xiao, W., Li, H. (2022). Event-Triggered Secure Tracking Control for Fixed-Wing Aircraft with Measurement Noise Under Sparse Attacks. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13456. Springer, Cham. https://doi.org/10.1007/978-3-031-13822-5_13
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