Nonlinear system identification via Laguerre network based fuzzy systems
Articles > Article ยท 2009
Authors: Musa ALCI, Musa H. ASYALI
Fuzzy Sets and Systems, Journal Indexed in SCI Expanded, International, WoS, 2009, vol 160, pp 3518-3529
DOI: 10.1016/j.fss.2009.09.016
Summary
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. (C) 2009 Elsevier B.V. All rights reserved.