Abstract:The support vector machines,which characterizes a simple model structure,good generalization,global optimal solution etc.,has been applied in the intelligent control.The current research includes SVMR modeling and prediction of nonlinear times serial,system identification,optimal control,learning control,predict control etc.,and SVM-based fault diagnosis.Since SVMR based on the quadratic programming unfits for the online training of control,the current research includes the online training of SVMR.The latest development of those contents in the domestic and overseas research were analyzed,and the main achievements and problems in SVMR control were summed up in order to provide some support and help for the further research.

支持向量机控制与在线学习方法研究的进展.kdh

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