An Adaptive Internal Model Control Based on LS-SVM

Based on least squares support vector machines regression algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed in this paper. First, least squares support vector machine (LS-SVM) regression model and its training algorithm are introduced, provides SMO-based on pruning algorithms for LS-SVM. Then it is used in adaptive internal model control (IMC) for constructing internal model and designing the internal model controller. At last, LS-SVM regression based adaptive internal model control is used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness.