学术报告第201544期

报告题目：Nonparametric  Identification of Nonlinear Autoregressive Systems with Exogenous Inputs Via A  Recursive Local Linear Estimator

报告人： Professor Wei Xing Zheng

澳大利亚University of Western Sydney教授  

IEEE Fellow

报告时间：2015年10月23日上午10：30

报告地点：南一楼311室

邀请方：“多谱信息处理技术”国家级重点实验室

Abstract: In  this talk, we present a recursive local linear estimator (RLLE) for  nonparametric identification of nonlinear autoregressive systems with exogenous  inputs (NARX). First, the RLLE is introduced. Next, the strong consistency as  well as the asymptotical mean square error properties of the RLLE are  established, and then an application of the RLLE to an additive nonlinear system  is discussed. The RLLE provides recursive estimates not only for the function  values but also their gradients at fixed points. A simulation example is  provided to confirm the theoretical analysis.

Biography:  Wei Xing Zheng received the B.Sc. degree in Applied Mathematics in 1982, the  M.Sc. degree in Control Theory and Applications in 1984, and the PhD degree in  Control Theory and Applications in1989, all from Southeast University, Nanjing,  China. Over the years, he has held various faculty/research/visiting positions  at Southeast University, China; Imperial College of Science, Technology and  Medicine, UK; University of Western Australia, Curtin University of Technology,  Australia; Munich University of Technology, Germany; University of Virginia,  USA; and University of California-Davis, USA. Currently he holds the rank of  Full Professor at University of Western Sydney, Australia. Prof. Zheng has  served as an Associate Editor for a number of flagship journals. Currently, he  is an Associate Editor of Automatica, IEEE Transactions on Automatic Control,  IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and  Learning Systems, and other scholarly journals. He is a Fellow of IEEE.