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；

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