数学物理学报(英文版) ›› 2000, Vol. 20 ›› Issue (4): 542-550.
解学军, 张克梅
JIE Hua-Jun, ZHANG Ke-Mei
摘要:
In this paper, fuzzy systems are used as identifiers for unknown nonlinear
dynamic systems. The fuzzy identifier can incorporate linguistic knowledge of nonlinear
dynamic systems with input-output pairs directly into the design. In the case where there
is the modelling error, a new identification algorithm is proposed. It is proved that the
fuzzy identifier is globally stable and the identification error converges to zero exponentially
fast.
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