Fuzzy PID Controller for UAV Based on Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0479-2_160
Reference8 articles.
1. Bernini, N., et al.: A few lessons learned in reinforcement learning for quadcopter attitude control. In: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control (2021)
2. Koch, W., et al.: Reinforcement learning for UAV attitude control. ACM Trans. Cyber-Phys. Syst. 3(2), 1–21 (2019)
3. Zhang, T., et al.: Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE (2016)
4. Hwangbo, J., et al.: Control of a quadrotor with reinforcement learning. IEEE Robot. Autom. Lett. 2(4), 2096–2103 (2017)
5. Gautam, D., Ha, C.: Control of a quadrotor using a smart self-tuning fuzzy PID controller. Int. J. Adv. Rob. Syst. 10(11), 380 (2013)
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