基于LS-SVM的模糊控制器研究

探讨了利用最小二乘支持向量机(LS-SVM)进行模糊控制器分析与设计研究的方法,提出了基于LS-SVM模型的模糊控制算法.该控制器融合了模糊控制与支持向量机的优点,具有不依赖被控对象模型、泛化能力强等特点.仿真结果表明,LS-SVM学习速度快,在小样本情况下具有良好的非线性建模和泛化能力.基于LS-SVM的模糊控制器具有很好的控制性能.

Research of the Fuzzy Controller Based on LS - SVM

An analysis and design method of the fuzzy controller based on least squares support vector machine(LS-SVM) is proposed.A kind of fuzzy control scheme based on the LS-SVM model is presented.The controller integrates fuzzy control and support vector machine together,and digestes the advantages of both fuzzy control and support vector networks.It is independent of the controlled object model and has also good general change ability.Simulation results show that LS-SVM can be trained lastly.The LS-SVM has good ability of modeling nonlinear process and good generalization under small data set available.The fuzzy controller based on LS-SVM shows satisfactory performance.