Least Squares Based Iterative Parameter Estimation for Output Nonlinear Systems with Piece-Wise Nonlinearities

摘要：

This paper presents a least squares based iterative parameter estimation algorithm for a class of output nonlinear systems with piece-wise nonlinearities (also called Wiener systems with saturation and dead-zone nonlinearities). A Wiener nonlinear system can be transformed into a special quasi-linear model by using a decomposition technique. The proposed least squares algorithm can estimate all the parameters of the whole nonlinear systems from all the input-output data. An illustrative example is included.

作者: CHEN Jing ZHANG Yan DING Feng

作者单位: Wuxi Professional College of Science and Technology, Wuxi, 214028, P.R.China School of Internet of T Wuxi Institute of Technology, Wuxi, 214121 , P.R.China School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）