Intelligent Robust Disturbance Rejection Control of UAV Based on Deep Q Network

Author:

Bi Tengfei,Xu Feihong,Huang Guangzi,Liu Xuanqi,Wu Zikang,Shen Qiang

Publisher

Springer Nature Singapore

Reference9 articles.

1. Muliadi, J., Kusumoputro, B.: Neural network control system of UAV altitude dynamics and its comparison with the PID control system. J. Adv. Transp. 1, 1–18 (2018)

2. Xu, L.X., Ma, H.J., Guo, D.: Backstepping sliding-mode and cascade active disturbance rejection control for a quadrotor UAV. IEEE/ASME Trans. Mechatron. 25(6), 2743–2753 (2020)

3. Priyambodo, T.K., Dhewa, O.A., Susanto, T.: Model of Linear Quadratic Regulator (LQR) control system in waypoint flight mission of flying wing UAV. J. Telecommun. Electron. Comput. Eng. (JTEC) 12(4), 43–49 (2020)

4. Talole, S.E.: Active disturbance rejection control: applications in aerospace. Control Theory Technol. 16(4), 314–323 (2018)

5. Han, J.: Active Disturbance Rejection Control Technique-The Technique for Estimating and Compensating the Uncertainties. National Defense Industry Press, Beijing (2008)

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