A New Nonlinear Parameterized Model Order Reduction Technique Combining the Interpolation Method and Proper Orthogonal Decomposition

摘要：

A parameterized model order reduction technique for nonlinear system is presented in this paper, which combines the interpolation method with the Proper Orthogonal Decomposition (POD). The efficiency of the proposed approach lies in the use of interpolation method which reduces the complexity of POD in representing parameterized nonlinear functions. In order to capture the accuracy of the parameterized reduced model over a large range of parameter values, a training scheme is proposed to automatically select the training parameter points by the greedy sampling method. The results show that the accuracy and efficacy are improved in the proposed nonlinear parameterized reduction method.

作者: Zhiyu Xu Xinnan Lin Hao Zhuang Bo Jiang Haijun Lou Jin He

作者单位: The Key Laboratory of Integrated Microsystems, School of Computer & Information Engineering, Peking PKU HKUST Shenzhen Institute, IER Bldg., Hi-Tech Industrial Park South, Shenzhen 518057, P. R. China

会议类型: 国际会议

会议名称: 2011 IEEE 9th International Conference on ASIC(2011年第九届IEEE国际专用集成电路大会)

会议地点: 厦门

会议语种:英文

页码: 953-956

在线出版日期: 2011-10-25（万方平台首次上网日期，不代表论文的发表时间）