Recursive Identification for Multi-Channel Hammerstein Systems

摘要：

This paper considers the recursive identification for multi-channel Hammerstein systems with internal noises and observation noise, where the linear parts are ARX systems. With the help of the correlations of system inputs and output, the recursive algorithms are proposed for estimating unknown coef.cients of the linear subsystem, while the system nonlinearity is recursively estimated by using the kernel functions. Strong consistency of the estimates is proved under reasonable conditions, and a simulation example is provided.

关键词： multi-channel Hammerstein system recursive identification stochastic approximation kernel estimate.

作者: Xing-Min Chen

作者单位: Key Laboratory of Systems and Control, Institute of Systems Science, AMSS, Chinese Academy of Sciences, Beijing 100080, P. R. 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: 3267-3271

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）