Application Research on Data Segment by Robust H∞ Filter Estimation
In order to solve robots localization based on 2D map match, Robust H∞ filtering estimation is presented for segmenting ultrasonic readings set. Kalman filter estimation is classical data segmentation approach. In general, there are some uncertain parameters at a sensor observe system, traditional algorithm cause some data cant be segment, so robots will be lost. Robust H∞ filter estimations enhances data segmentation accuracy and it lay a solid foundation for robot localization.
Based on 2D map match H∞ filter data segment kalman filter robot localization
Wu Wei Ma Xiaoning Xu Xinhe
Institute of Motion Control Electric Machine, Shenyang University of Technology,Shenyang,110178, Chi Institute of Information Science & Engineering, Northeastern University, Shenyang, 110004, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
680-683
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)