제어로봇시스템학회:학술대회논문집
- 1992.10a
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- Pages.484-489
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- 1992
A construction of fuzzy controller using learning
학습을 이용한 퍼지 제어기의 구성
Abstract
The inference of fuzzy controller can be considered a mapping from the controller input to membership value. The membership value, a kind of weight, has a role to decide if the input is appropriate to the rule. The membership function is described by several values, which are decided by a learning method. The learning method is adopted from adaptive filtering theory. The simulation shows the proposed fuzzy controller can learn linear and nonlinear functions. the structure of the proposed fuzzy controller becomes a kind of neural network.
Keywords