A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Multiple model estimation by hybrid grid
2010
Proceedings of the 2010 American Control Conference
Preserved Fulltext
This paper considers the problem of state estimation for a hybrid system with Markovian switching parameters which belong to a continuous space. A hybrid grid multiple model (HGMM) estimator is presented. The total model set for HGMM is the combination of a fixed coarse grid and an adaptive fine grid. Three practical algorithms in this scheme are developed. These algorithms are used for state estimation in maneuvering target tracking. Simulation results demonstrate that the HGMM estimator
doi:10.1109/acc.2010.5531226
fatcat:5fgsjrz2yfbn7duh7kj66sutka