Stochastic robot forward dynamics with spatially distributed measurement noise
作者:
KWANG-SOOB KO,
RUSSELLK. READ,
期刊:
International Journal of Systems Science
(Taylor Available online 1993)
卷期:
Volume 24,
issue 3
页码: 419-440
ISSN:0020-7721
年代: 1993
DOI:10.1080/00207729308949498
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
One of the principal reasons that noisy measurements in the robot forward dynamics problem have not been analysed is the lack of an appropriate model. A dynamics formulation introduced by Rodriguez, J. R. (1981,I.E.E.E. J. Robotics Autom.,3, 30) and extended by Ko, K. S., and Read, R. K. (unpublished) provides a suitable framework for investigating the class of spatially distributed noise sources. The resulting solution of the forward dynamics problem has the form of a Kalman filter with smoothing for a spatially distributed system. Two measurement noise models are investigated: the uncorrelated white gaussian model and the correlated first-order markovian models. A modified Kalman filter solution is obtained in each case. Simulation experiments demonstrate the improvement in system response.
点击下载:
PDF (492KB)
返 回