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Support vector machine-based nonlinear system modeling and control

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4 Author(s)
Haoran, Zhang ; Department of Automation, Shanghai Jiaotong Universiry, Shanghai 200030, P. R. China ; Zhengzhi, Han ; Rui, Feng ; Zhiqiang, Yu

This paper provides an introduction to a support vector machine, a new kernel-based technique introduced in statistical learning theory and structural risk minimization, then presents a rnodeling-control framework based on SVM, At last a numerical experiment is taken to demonstrate the proposed approach's correctness and effectiveness.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:14 ,  Issue: 3 )

Date of Publication:

Sept. 2003

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