A VSC method for MIMO systems based on SVM

Authors:
Yi-Bo Zhang;Dao-Ying Pi;Youxian Sun;Chi Xu;Si-Zhen Chu
Affiliations:
National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, P.R. China;National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, P.R. China;National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, P.R. China;Hangzhou Automation Technology Institute, Hangzhou, China;Hangzhou Automation Technology Institute, Hangzhou, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems

IEEE Transactions on Signal Processing

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Abstract

A variable structure control (VSC) scheme for linear black-box multi-input/multi-output (MIMO) systems based on support vector machine (SVM) is developed. After analyzing character of MIMO system, an additional control is designed to track trajectory. Then VSC algorithm is adopted to eliminate the difference. By estimating outputs of next step, VSC inputs and additional inputs are obtained directly by two kinds of trained SVMs, and so recognition of system parameters is avoided. A linear MIMO system is introduced to prove the scheme, and simulation shows that the high identification precision and quick training speed.