【摘要】 建立了基于加权最小二乘支持向量机(weighted least squares support vector machines,Weighted LS-SVM)的非线性系统的内部模型和逆模型,并提出了一种基于加权LS-SVM的非线性系统的内模控制算法。仿真试验结果表明:加权LS-SVM建立的非线性系统内部模型和逆模型都具有很高的建模精度和较强的泛化能力,基于加权LS-SVM的内模控制算法对非线性系统具有良好的控制性能,较强的抗干扰能力和鲁棒性能。更多还原

【Abstract】 An internal model and an inverse model of nonlinear system are established based on Weighted Least Squares Support Vector Machines(Weighted LS-SVM).Then the algorithm of internal model control for nonlinear system based on Weighted LS-SVM is proposed.The simulation results show that the internal model and the inverse model of nonlinear system based on Weighted LS-SVM have high modeling precision and strong generalization ability.And the algorithm of internal model control for nonlinear system based on Weighted LS-SVM has good control performance,strong anti-jamming ability and robustness.更多还原