Journal of Guangdong University of Technology ›› 2007, Vol. 24 ›› Issue (2): 76-79.

• Comprehensive Studies • Previous Articles     Next Articles

Blind Nonlinear System Identification Based on LS-SVM

  

  1.  (1.Faculty of Automation,Guangdong University of Technology,Guangzhou 510090,China;2.School of Information Science and Technology,Sun Yat-Sen University,Guangzhou 510275,China)
  • Online:2007-07-02 Published:2007-07-02

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Abstract: To solve the nonlinear problems in blind system identification,a novel blind nonlinear system identification approach based on Least-Square Support Vector Machines(LS-SVM) is investigated in this paper.By oversampling the system outputs,more information of the system characteristics can be observed to blindly identify nonlinear systems.The LS-SVM based mathematical approximation provides an adequate modeling of the unknown system given the distribution knowledge of the system inputs.The paper de...

Key words: blind identification； nonlinear system； support vector machines； oversampling；

[1] J.A.K. Suykens,J. Vandewalle.  Least Squares Support Vector Machine Classifiers[J] ,1999

[2] Hua Y B,Abed-Meraim K,Wax M.Blind system identifi-cation using minimum noise subspace. IEEE Transac-tions on Signal Processing . 1997

[3] Tan H-Z,Chow T W S.Blind and total identification ofARMA mode in higher order cumulants domain. IEEETransactions on Industrial Electronics . 1999

[4] Tan H-Z,Chow T W S.Blind identification of quadraticnonlinear models using neural networks with higher ordercumulants. IEEE Transactions on Industrial Electron-ics . 2000

[5] Abed-Meraim K,Qiu W Z,Hua Y B.Blind system identi-fication. Proceedings of IEEE . 1998

[6] Bai E W,Fu M.A blind approach to Hammerstein modelidentification. IEEE Transactions on Signal Process-ing . 2002

[7] Bai E W.A blind approach to the Hammerstein-Wienermodel identification. Automatica . 2002

[8] ChowTW S,Tan H-Z.HOS-based nonparametric and par-ametric methodologies for machine fault detection. IEEE Transactions on Industrial Electronics . 2000

[9] LUO H,LI Y.The application of blind channel identifica-tion techniques to prestack seismic deconvolution. Pro-ceedings of IEEE . 1998

[10] Smola A J.Learning with kernels. . 1998
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