Inverse Learning Control of Nonlinear Systems Using Support Vector Machines |
| |
Authors: | HU Zhong-hui LI Yuan-gui CAI Yun-ze XU Xiao-ming |
| |
Institution: | Dept. of Automation, Shanghai Jiaotong Univ. , Shanghai 200030, China |
| |
Abstract: | An inverse learning control scheme using the support vector machine (SVM) for regression was proposed. The inverse learning approach is originally researched in the neural networks. Compared with neural networks, SVMs overcome the problems of local minimum and curse of dimensionality. Additionally, the good generalization performance of SVMs increases the robustness of control system. The method of designing SVM inverse learning controller was presented. The proposed method is demonstrated on tracking problems and the performance is satisfactory. |
| |
Keywords: | support vector machines learning control inverse model nonlinear system |
本文献已被 CNKI 维普 万方数据 等数据库收录! |