Research on nonlinear adaptive inverse control using FLANN data-together constructed by LS-SVM

With the study on the constructive method of generic functional link artificial neural network(FLANN), a novel constructive method based on the least squares support vector machines (LS-SVM) is proposed and applied to building the nonlinear object model and inverse model. The nonlinear system identification technology of this method is applied to the adaptive inverse control to increase the self-adaptability of the nonlinear system and improve the dynamic properties. The adaptive inverse control system designed can not only get a better dynamic response but also reduce the disturbance to a minimum.