Modeling and control of nonlinear systems using novel fuzzy wavelet networks: The modeling approach

• Published in: 49th IEEE Conference on Decision and Control (CDC) pp. 3475 - 3480
• Main Authors: Ebadat, A, Noroozi, N, Safavi, A A, Mousavi, S H
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2010
• Subjects: Artificial neural networks; Clustering algorithms; Function approximation; Linearity; Multiresolution analysis; Wavelet transforms

In this paper a fuzzy wavelet network is proposed to approximate arbitrary nonlinear functions based on the theory of multiresolution analysis (MRA) of wavelet transform and fuzzy concepts. The presented network combines TSK fuzzy models with wavelet transform and ROLS learning algorithm while still...