【摘要】 针对非线性控制系统辨识建模难的问题,系统研究了基于支持向量机的非线性控制系统的辨识建模理论和方法,然后利用回归型支持向量机(Support Vector Regression,SVR)设计了一个非线性控制系统的辨识建模系统。仿真试验结果表明,SVR具有很高的建模精度和较强的泛化能力,从而验证了该辨识方法的有效性和先进性。更多还原

【Abstract】 Aiming at the problem of hard system identification modeling for nonlinear control system,the theory and the method of identification modeling for nonlinear control system based on Support Vector Machines(SVM)are studied in detail.Then a identification modeling system is designed for nonlinear control system by using Support Vector Regression(SVR).The simulation results show that SVR has high modeling precision,strong generalization and high fault diagnosis precision.Therefore the identification method mentioned above is valid and advanced.更多还原