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Balancing a seesaw with reinforcement learning
Ts.Tengis,L. Uurtsaikh,A. Batminkh 국제문화기술진흥원 2020 International Journal of Advanced Culture Technolo Vol.8 No.4
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seesaw system is a system that can represent one of axis of four propeller drones and its stabilization has been replaced by intelligent control system instead of often used control methods such as PID and state space.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.
A study of the incubator model for growing mushrooms
H. Zheyang,Ts. Tengis,A. Batminkh 국제문화기술진흥원 2020 International Journal of Advanced Culture Technolo Vol.8 No.1
This article describes the automated incubator designs for white mushrooms growing. Mongolia has a very long and cold winter, so the process of growing mushrooms is short. Therefore, we aim to design an automated incubator system that has created a favorable artificial environment for mushroom growing by examining the necessary conditions for mushroom growing. This system was designed to be able to hold for some time the required levels of soil moisture, air humidity, soil temperature, air temperature, and CO2 levels. This article presents the results of a system-based experiment that allows you to grow mushrooms for 30 days without human interference.