Parameter Estimation of Sandwich Systems with Dead Zone via Modified Kalman Filter

摘要：

　　An online modelified Kalman filtering(MKF)algorithm for the parameter identification of sandwich systems with dead zone is proposed in this paper.With the switch functions introduced to represent the effect of dead zone,the pseudo-linear model with separated parameters to describe the sandwich system with dead zone is obtained.On account of the modeling residual is the Gaussian white noise sequence,a stochastic state space model is constructed.Then,the MKF algorithm is applied to the estimation of parameters of the model.Afterwards,a simulation example is presented to evaluate the proposed scheme.

关键词： Identification dead zone sandwich system modified Kalman filter

作者: Yanyan Li Yonghong Tan Ruili Dong

作者单位: Institute of Robotics and Automatic Information System,Nankai University,Tianjin 300071,China;Tianji Shanghai Normal University,Shanghai 200234,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 6710-6714

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）