New fuzzy wavelet network for modeling and control: The modeling approach

Communications in Nonlinear Science and Numerical Simulation

Volumn 16, Issue 8, 2011, Pages 3385-3396

  Ebadat, Afrooz ^a   Noroozi, Navid ^a   Safavi, Ali Akbar ^a   Mousavi, Seyyed Hossein ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Fuzzy systems; Multiresolution analysis; ROLS algorithm; Wavelet neural network

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLUSTERING ALGORITHMS; FUZZY CLUSTERING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; MEMBERSHIP FUNCTIONS; MIMO SYSTEMS; MULTIPLEXING EQUIPMENT; MULTIRESOLUTION ANALYSIS; VECTOR QUANTIZATION;

FUZZY WAVELET NETWORKS; MODELING APPROACH; MODELLING AND CONTROLS; MULTI-RESOLUTION ANALYSIS; MULTIRESOLUTIONS ANALYSIS; NEURAL-NETWORKS; NONLINEAR FUNCTIONS; ROLS ALGORITHM; WAVELET NEURAL NETWORK; WAVELETS TRANSFORM;

FUZZY RULES;

EID: 79952533260     PISSN: 10075704     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cnsns.2010.12.011     Document Type: Article

References (17)

1. Wang H, Xiao J. T-S fuzzy system based on multi-resolution analysis and its function approximation. In: Proceedings of the fifth World congress on intelligent control and automation, China; 2004. p. 244-9.
2. Gomm J.B., Yu D.L. Selecting radial basis function network centers with recursive orthogonal least squares training. IEEE Trans Neural Networks 2000, 11:306-314.
3. Safavi A.A., Romagnoli J.A. Application of wavelet based neural networks to modeling and optimization of an experimental distillation column. Eng Appl Artificial Intell 1997, 10:301-313.
4. Zhang Q., Benveniste A. Wavelet networks. IEEE Trans Neural Networks 1992, 3:889-898.
5. Ho D.W.C., Zhang P-A., Xu J. Fuzzy wavelet networks for function learning. IEEE Trans Fuzzy Syst 2001, 9:200-211.
6. Bakshi B.R., Stephanopoulos G. Wave-net: a multiresolution, hierarchical neural network with localised learning. AIChE Journal 1993, 39:57-81.
7. Lin C-J., Li C-C. Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Trans SMC 2004, 34:2144-2154.
8. Lin C-J., Li C-C., Lee C-L. A wavelet-based neuro-fuzzy system and its applications. IEEE Proc 2000, 1921-1926.
9. Karatepe E., Alci M. New approach to fuzzy wavelet system modeling. Int J Approx Reasoning 2005, 40:302-322.
10. Zhang Q. Using wavelet networks in non-parametric estimation. IEEE Trans Neural Networks 1997, 8:227-236.
11. Han M., Sun Y., Fan Y. An improved fuzzy neural network based on T-S model. Expert Syst Appl 2008, 34:2905-2920.
12. Thuillard M. A review of wavelet networks, wavenets, fuzzy wavenets and their Applications. ESIT; 2000. p. 14-15.(Germany).
13. Uykan Z., Güzeliş C., Çelebi M.E. Analysis of input-output clustering for determining centers of RBFN. IEEE Trans Neural Networks 2000, 11:851-857.
14. Zhang Q. Using wavelet networks in nonparametric estimation. IEEE Trans Neural Networks 1997, 8:227-236.
15. Sidney Burrus C., Gopinath R.A., Guo H. Introduction to wavelets and wavelet transforms 1998, Prenrice-Hall, Englewood Cliffs, NJ.
16. Zhang Q. Regressor selection and wavelet network construction. Conf Contr Decision 1993, 3688-3693.
17. Mousavi SH, Noroozi N, Safavi AA, Ebadat A. Modeling and control of nonlinear systems using novel fuzzy wavelet networks: the output adaptive control approach. Commun Nonlinear Sci Numer Simulat 2011, doi:10.1016/j.cnsns.2010.12.041. doi:10.1016/j.cnsns.2010.12.041.