Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07b
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- Pages.394-396
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- 1997
Design of RBF Neural Network Controller Based on Fuzzy Control Rules
퍼지 제어규칙을 기반으로한 RBF 신경회로망 제어기 설계
- Choi, Jong-Soo (Research Institute of Industrial Science & Technology) ;
- Kwon, Oh-Shin (Kunsan National University)
- Published : 1997.07.21
Abstract
This paper describes RBF network controller based on fuzzy control rules for intelligent control of nonlinear systems. The proposed scheme is derived from the functional equivalence between RBF networks and fuzzy inference systems. The design procedure of the proposed scheme is realized by first transforming the fuzzy control rules into the parameters of RBF networks. The optimized RBF network controller is then performed through the gradient descent learning mechanism to an error function. The proposed method is rigorously tested using a nonlinear and unstable nonlinear system. Simulation is performed to demonstrate the feasibility and effectiveness of the proposed scheme.
Keywords