Nonlinear system identification via Laguerre network based fuzzy systems

Authors:
Musa Alci;Musa H. Asyali
Affiliations:
Ege University, Department of Electrical and Electronics Engineering, Faculty of Engineering, Bornova Campus, 35040 Izmir, Turkey;Zirve University, Department of Electrical and Electronics Engineering, Faculty of Engineering, Kızılhisar Campus, 27260 Gaziantep, Turkey
Venue:
Fuzzy Sets and Systems
Year:
2009

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Abstract

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.