✦ LIBER ✦

Fuzzy on-line identification of SISO nonlinear systems

✍ Scribed by W.F. Xie; A.B. Rad

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 195 KB
Volume: 107
Category: Article
ISSN: 0165-0114
DOI: 10.1016/s0165-0114(97)00297-2

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✦ Synopsis

A new fuzzy on-line identi"cation algorithm for a single input/single output continuous-time nonlinear dynamic system is presented. This method combines the conventional on-line identi"cation with fuzzy logic system. The nonlinear system is approximated by a set of fuzzy rules that describe the local linear dynamic in each subspace formed by fuzzifying the input and output space. The continuous-time fuzzy input}output model is identi"ed on-line by using the input and output measurements. A fuzzy identi"cation algorithm has been developed and a convergence analysis is carried out. Simulation studies have demonstrated that this fuzzy on-line identi"er can match the time-varying nonlinear system within $5% accuracy.

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