Identification of Quadratic Volterra System Using Random Multi-tone Excitation

摘要：

　　This paper presents a simplified method for the identification of quadratic Volterra systems.Since the higher order kernels often play a secondary role compared to the linear component of the system, it is worth establishing a balance between the calculation consumption of the higher order kernels and their effect on the model accuracy.The equivalent kernels are used to substitute original quadratic kernels, and therefore both the model complexity and identification computational requirement are significantly reduced.Then the identification algorithm based on least square minimization of model output error and random multi-tone excitation is designed.Simulations show this simplified method is of excellent generalization ability and has robustness against noise in output signals.

关键词： Nonlinear system System identification Volterra kernel Random Multi-tone

作者: Lining Tan Libin Lu Guodong Jin Ping Li Juan Liang

作者单位: Xian Research Institute of High Technology,Xian 710025,P.R.China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 646-650

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）