Parameter fitting for nonlinear systems

摘要：

The paper studies the parameter fitting problems of a typical nonlinear system. Two equation converted methods are used to convert the nonlinear fitting problem to the linear fitting one which is easy to solve. Then using the negative gradient searching and Newton iteration theory, we derive the gradient and Newton estimation algorithms to determine the parameters of the nonlinear system. Furthermore, the performances of the proposed approaches are analyzed and compared using a numerical example.

关键词： Nonlinear systems Gradient iteration Newton iteration Parameter fitting

作者: Junhong Li Feng Ding

作者单位: School of Electrical Engineering, Nantong University, Nantong, China 226019;School of Internet of Th School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1085-1090

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）