Fuzzy identification using fuzzy neural networks with stable learning algorithms.
In general, fuzzy neural networks cannot match nonlinear systems exactly. Unmodeled dynamic leads parameters drift and even instability problem. According to system identification theory, robust modification terms must be included in order to guarantee Lyapunov stability. This paper suggests new lea...
| Publicat a: | IEEE Transactions on fuzzy systems 12, 3 (2004). |
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| Autor principal: | |
| Format: | Article |
| Idioma: | anglès |
| Matèries: |