Least Squares Support Vector Machine Classifiers
Neural Processing Letters
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Fast online SVR algorithm based adaptive internal model control
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
SMO-based pruning methods for sparse least squares support vector machines
IEEE Transactions on Neural Networks
Inverse System Identification of Nonlinear Systems Using LSSVM Based on Clustering
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
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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.