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- matlab
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[Matlab]
[源码]
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- 32kb
- Update:
- 2016-03-25
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- 李
Description: This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes
in IEEE Transactions on Automatic Control (2012)
The software package also contains implementations of the following filters/smoothers:
- GP-ADF/GP-RTSS
- Gibbs-filter/Gibbs-RTSS [Deisenroth and Ohlsson, ACC 2011]
- EKF/EKS
- UKF/URTSS
- CKF/CKS
We provide a demo script:
demo_gprtss.m
The code requires MatlabR2007a or newer.
(C) Copyright 2012 by Marc Deisenroth
Permission is granted for anyone to copy, use, or modify this
software and accompanying documents for any uncommercial
purposes, provided this copyright notice is retained, and note is
made of any changes that have been made. This software and
documents are distributed without any warranty.
I d appreciate any feedback on the code (useful, buggy, ine
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File list (Check if you may need any files):
gprtss\barrier_fct.m
......\covNoise.m
......\covSEard.m
......\covSum.m
......\demo_gprtss.m
......\filters
......\.......\ekf.m
......\.......\gibbs_smoother.m
......\.......\gpPo.m
......\.......\gpPt.m
......\.......\gprtss.m
......\.......\scaledSymmetricSigmaPoints.m
......\.......\sckf.m
......\.......\ukf_add.m
......\gpr.m
......\maha.m
......\minimize.m
......\readme.txt
......\solve_chol.c
......\solve_chol.m
......\sq_dist.c
......\sq_dist.m
......\trainf.m
......\util
......\....\gaussian.m
......\....\gm.m
......\....\print_pdf.m
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