Filtering of Non-Uniformly Multirate Sampled-Data Systems Using the Lifting Technique

摘要：

This paper uses the lifting technique to derive the lifted state-space models for non-uniformly sampled multirate systems,and transform the obtained models into the canonical ones.Based on the Kalman ?ltering principle,we derive the state ?ltering algorithm by minimizing the estimation error covariance matrix and further compute the state estimates of the original systems by using inverse transformation.Finally, an example is given to validate the algorithm proposed.

关键词： Multirate systems lifting technique state-space model state estimation Kalman ?ltering principle

作者: Jinhai Wang Hongxia Jiang Feng Ding

作者单位: Control Science and Engineering Research Center Southern Yangtze University Wuxi,P.R.China 214122

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）