Identification for Piezoelectric Smart Materials Based on Neural Networks Method

摘要：

Based on the static Preisach hysteresis model of Piezoelectric Smart Materials, the technology of Artificial Neural Networks is applied for the hysteresis modeling of Piezoelectric Smart Materials. The BP network is chosen as the method of identifying the non-linear hysteresis sysytem. Adopting this method one samples hysteresis model is built. The results have shown that this method is correct and effective.

关键词： Preisach hysteresis model Artificial Neural Networks identifying, non-linear

作者: Liu Yanmei Chen Zhen Xue Dingyu

作者单位: Department of Automation Shenyang Institute of Aeronautical Engineering Shenyang, China School of Information Science & Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 608-611

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）