Details

Autor(en) / Beteiligte

• Alci, Musa
• Asyali, Musa H.

Titel

Nonlinear system identification via Laguerre network based fuzzy systems

Ist Teil von

• Fuzzy sets and systems, 2009-12, Vol.160 (24), p.3518-3529

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2009

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this study, identification of nonlinear systems via Laguerre network based fuzzy model is introduced. We first describe the proposed modeling approach in detail and suggest a fast learning scheme for its training. The proposed approach is applied in three dynamic system modeling problems including Box–Jenkins gas furnace data and forced Van der Pol oscillator. When we compare the performance of the proposed approach against the classical Sugeno and adaptive network based fuzzy inference system modeling, our approach is found to have superior modeling performance and generalization capability.