대한기계학회:학술대회논문집 (Proceedings of the KSME Conference)
- 대한기계학회 2001년도 춘계학술대회논문집B
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- Pages.105-109
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- 2001
진화 연산을 이용한 실시간 자기동조 학습제어
The Real-time Self-tuning Learning Control based on Evolutionary Computation
초록
This paper discuss the real-time self-tuning learning control based on evolutionary computation, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.
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