원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 8 Number 4
2020.12
pp.51-57
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A propeller-based seesaw system is a system that can represent one of axis of four propeller drones and its stabilization has been replaced by intelligent control system instead of often used control methods such as PID and state space. Today, robots are increasingly use machine learning methods to adapt to their environment and learn to perform the right actions. In this article, we propose a Q-learning-based approach to control the stability of a seesaw system with a propeller. From the experimental results that it is possible to fully learn the balance control of a seesaw system by correctly defining the state of the system, the actions to be performed, and the reward functions. Our proposed method solves the seesaw stabilization.
목차
Abstract
1. Introduction
2. Reinforcement learning method
3. Implementing reinforcement learning to the model
4. Test results
5. Conclusion
References
1. Introduction
2. Reinforcement learning method
3. Implementing reinforcement learning to the model
4. Test results
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보