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Gibbs RTSS 1.0
by marc - April 4, 2011, 19:58:43 CET [
]
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- Description:
This software package provides a Matlab implementation of the Gibbs-filter and Gibbs-RTSS as described in
Marc Peter Deisenroth and Henrik Ohlsson "A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving New Algorithms" in Proceedings of the 2011 American Control Conference (ACC 2011)
The software package also contains implementations of the following filters/smoothers: - Gibbs-filter/Gibbs-RTSS - EKF/EKS - UKF/URTSS - CKF/CKS
Running demo_nonlinear_model
reproduces the results from the paper for the nonlinear example in the paper (figures and numbers).The code requires MatlabR2007a or newer.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- Supported Operating Systems: Platform Independent
- Data Formats: Agnostic
- Tags: Dynamical Systems, Inference, Filtering, Smoothing
- Archive: download here
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Project details for Gibbs RTSS
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Details
- Version:
- 1.0
- Submitter:
- marc
- Author(s):
- Marc Deisenroth
- Posted:
- 4 April 2011
- Last Updated:
- 4 April 2011
- Open Source License:
- free bsd
- Programming Language(s):
- matlab