Application research on data segment by robust H∞filter estimation

Authors:
Wu Wei;Ma Xiaoning;Xu Xinhe
Affiliations:
Institute of Motion Control Electric Machine, Shenyang University of Technology, Shenyang, China;Institute of Motion Control Electric Machine, Shenyang University of Technology, Shenyang, China;Institute of Information Science & Engineering, Northeastern University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

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 can't be segment, so robots will be lost. Robust H∞ filter estimations enhances data segmentation accuracy and it lay a solid foundation for robot localization.