A novel electro-hydraulic servo control algorithm was introduced. The primary idea of this algorithm was to combine the notion of model prediction with the generic model control （GMC）. The performance of the GMC al-...A novel electro-hydraulic servo control algorithm was introduced. The primary idea of this algorithm was to combine the notion of model prediction with the generic model control （GMC）. The performance of the GMC al- gorithm was improved by receding optimization and feedback correction. By the predictive model of output errors of an electro-hydraulic servo control system based on the improved weighted least square support vector machines （WLS-SVM） to forecast and compensate the future sequence errors, the control precision and robustness were im- proved. The improved GMC based on the improved WLS-SVM was applied to an electro-hydraulic servo control sys- tem for hot strip rolling control systems. The simulation results showed the feasibility and effectiveness of the pres- ent algorithm.展开更多
Support vector machines (SVM) have been widely used in pattern recognition and have also drawn considerable interest in control areas. Based on rolling optimization method and on-line learning strategies, a novel appr...Support vector machines (SVM) have been widely used in pattern recognition and have also drawn considerable interest in control areas. Based on rolling optimization method and on-line learning strategies, a novel approach based on weighted least squares support vector machines (WLS-SVM) is proposed for nonlinear dynamic modeling. The good robust property of the novel approach enhances the generalization ability of kernel method-based modeling and some experimental results are presented to illustrate the feasibility of the proposed method.展开更多
基金Item Sponsored by National Development and Reform Commission Tech-Industry Project Foundation of China(High-Tech1899)
文摘A novel electro-hydraulic servo control algorithm was introduced. The primary idea of this algorithm was to combine the notion of model prediction with the generic model control （GMC）. The performance of the GMC al- gorithm was improved by receding optimization and feedback correction. By the predictive model of output errors of an electro-hydraulic servo control system based on the improved weighted least square support vector machines （WLS-SVM） to forecast and compensate the future sequence errors, the control precision and robustness were im- proved. The improved GMC based on the improved WLS-SVM was applied to an electro-hydraulic servo control sys- tem for hot strip rolling control systems. The simulation results showed the feasibility and effectiveness of the pres- ent algorithm.
基金This work was supportedin part bythe national 973 keyfundamental research project of China under grant 2002CB312200 and national 863high technology projects foundation of China under grant 2002AA412010
文摘Support vector machines (SVM) have been widely used in pattern recognition and have also drawn considerable interest in control areas. Based on rolling optimization method and on-line learning strategies, a novel approach based on weighted least squares support vector machines (WLS-SVM) is proposed for nonlinear dynamic modeling. The good robust property of the novel approach enhances the generalization ability of kernel method-based modeling and some experimental results are presented to illustrate the feasibility of the proposed method.
