Nonlinear Control Systems Support Vector Machine Identification Modeling modeling for nonlinear control system identification difficult problem, the system studied based on support vector machine identification modeling nonlinear control systems theory and method, and then use the support vector regression machines (Support Vector Regression, SVR) designed a nonlinear control system identification modeling system simulation results showed that, SVR modeling with high accuracy and generalization ability, in order to verify the validity of the identification method and advanced.

非线性控制系统的支持向量机辨识建模研究.pdf

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