Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lee, Joonghyun"'
Autor:
Valentin, Romeo, Katz, Sydney M., Lee, Joonghyun, Walker, Don, Sorgenfrei, Matthew, Kochenderfer, Mykel J.
This paper addresses the challenge of probabilistic parameter estimation given measurement uncertainty in real-time. We provide a general formulation and apply this to pose estimation for an autonomous visual landing system. We present three probabil
Externí odkaz:
http://arxiv.org/abs/2407.16223
Autor:
Chee, Yin Yong, Oveissi, Parham, Shao, Siyuan, Lee, Joonghyun, Paredes, Juan A., Bernstein, Dennis S., Goel, Ankit
This paper modifies an adaptive multicopter autopilot to mitigate instabilities caused by adaptive parameter drift and presents simulation and experimental results to validate the modified autopilot. The modified adaptive controller is obtained by in
Externí odkaz:
http://arxiv.org/abs/2304.10634
Autor:
Lee, Joonghyun, Spencer, John, Shao, Siyuan, Paredes, Juan Augusto, Bernstein, Dennis S., Goel, Ankit
This paper presents an adaptive autopilot for fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive autopilot is constructed by augmenting the autopilot architecture with adaptive control laws that are updated usi
Externí odkaz:
http://arxiv.org/abs/2210.13621
Autor:
Lee, Joonghyun, Spencer, John, Paredes, Juan Augusto, Ravela, Sai, Bernstein, Dennis S., Goel, Ankit
This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive digital autopilot is constructed by augmenting the autopilot architecture implemented in PX4 flight sta
Externí odkaz:
http://arxiv.org/abs/2110.11390
This paper develops an adaptive PID autotuner for multicopters, and presents simulation and experimental results. The autotuner consists of adaptive digital control laws based on retrospective cost adaptive control implemented in the PX4 flight stack
Externí odkaz:
http://arxiv.org/abs/2109.12797
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
This paper develops an adaptive PID autotuner for multicopters, and presents simulation and experimental results. The autotuner consists of adaptive digital control laws based on retrospective cost adaptive control implemented in the PX4 flight stack
Autor:
Lee, Joonghyun, Kim, H. Jin
Publikováno v:
2015 15th International Conference on Control, Automation & Systems (ICCAS); 2015, p399-404, 6p
Publikováno v:
2013 13th International Conference on Control, Automation & Systems (ICCAS 2013); 2013, p300-305, 6p