Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1186-1188
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- 1996
Adaptive Control Based on Fuzzy-CMAC Neural Networks
Fuzzy-CMAC 신경회로망 기반 적응제어
- Choi, J.S. (DCS Team, R&D Center, POSCON) ;
- Kim, H.S. (Dept. of Control & Instrumentation Eng., Chonbuk Nat'l University) ;
- Kim, S.J. (Dept. of Control & Instrumentation Eng., Chonbuk Nat'l University) ;
- Kwon, O.S. (Dept. of Control & Instrumentation Eng., Kunsan Nat'l University)
- Published : 1996.07.22
Abstract
Neural networks and fuzzy systems have attracted the attention of many researehers recently. In general, neural networks are used to obtain information about systems from input/output observation and learning procedure. On the other hand, fuzzy systems use fuzzy rules to identify or control systems. In this paper we present a generalized FCMAC(Fuzzified Cerebellar Model Articulation Controller) networks, by integrating fuzzy systems with the CMAC(Cerebellar Model Articulation Controller) networks. We propose a direct adaptive controller design based on FCMAC(fuzzified CMAC) networks. Simulation results reveal that the proposed adaptive controller is practically feasible in nonlinear plant control.
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