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自动化学报 1998
On-Line Identification of Nonlinear Systems Using Fuzzy Model
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Abstract:
Nonlinear system modeling using fuzzy system is discussed in this paper. A simple fuzzy rule representation method and the corresponding adaptive fuzzy inference are proposed. Based on this modified fuzzy system, the paper presents an on line identification algorithm with which the on line parameter estimation of nonlinear system is realized. A nonlinear model, as an example, is identified to verify the fuzzy system and identification algorithms.