Earticle

초록

영어

One of the key objectives of control systems is to maintain a system in a specific stable state. To achieve this goal, a variety of control techniques can be used and it is often uses a feedback control method. As known this kind of control methods requires mathematical model of the system. This article presents seesaw unstable system with two propellers which are controlled without use of a mathematical model instead. The goal was to control it using training data. For system control we use a logistic regression technique which is one of machine learning method. We tested our controller on the real model created in our laboratory and the experimental results show that instability of the seesaw system can be fixed at a given angle using the decision boundary estimated from the classification method. The results show that this control method for structural equilibrium can be used with relatively more accuracy of the decision boundary.

목차

Abstract
1. Introduction
2. Classifier and decision boundary
3. Estimation of decision boundary
4. Implementation and Experimental results
5. Conclusion
References

키워드

저자

• Luvsansambuu Uurtsaikh [ Dept. of Electronics, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia ]
• TserendondogTengis [ Dept. of Electronics, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia ] Corresponding Author
• Amar Batmunkh [ Dept. of Electronics, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380