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authornatronics <natronics@web>2010-06-15 05:14:14 (GMT)
committer Portland State Aerospace Society <psas@psas.pdx.edu>2010-06-15 05:14:14 (GMT)
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-[[[[!img TridentSpin/trident-2-dnsc8906614.jpg size="250x192" alt="Uncertainty Team Logo" link=no class="picture"]]|TridentSpin]]
+[[!meta title="Uncertainty Team Home"]]
+
+[[!img uncertainty.png]]
-Mailing List: [psas-avionics](http://lists.psas.pdx.edu/mailman/listinfo/psas-avionics)
+[[[[!img TridentSpin/trident-2-dnsc8906614.jpg size="250x192" alt="Uncertainty Team Logo" link=no class="picture"]]|TridentSpin]]
The uncertainty team is tasked with achieving things that are unpredictable and very challenging. Of course, things which are certain and easily understood will be handled by other [[Teams]].
@@ -8,12 +10,18 @@ We're doing research and implementation of probabilistic algorithms. In particul
Please join our mailing list, or better yet stop by one of our meetings, we'd love to have your help!
-# Current projects
+**Meetings:** The uncertainty team meets weekly with the main group. See the [[PSAS schedule page|Schedule]] for upcoming meetings.
+
+**Uncertainty Team Mailing list:** [psas-avionics](http://lists.psas.pdx.edu/mailman/listinfo/psas-avionics)
+
+[[!toc levels="3"]]
+
+## Current projects
- Testing and improving our Bayesian Particle Filtering (BPF) implementation in our [simulated rocket](http://git.psas.pdx.edu/?p=event-driven-fc.git) environment.
- [[Flight simulations|simulation]]
-# Local Resources
+## Local Resources
- [[Introduction to the Kalman fiter|KalmanIntro]]
- [[Introduction to state space representations|StateSpace]]
@@ -22,4 +30,44 @@ Please join our mailing list, or better yet stop by one of our meetings, we'd lo
- [[Comparison|orbital_vehicle_comparison]] of small orbital vehicles
- [[Roll Control|RollControl]]
-[[!inline pages="uncertainty/* and !uncertainty/*/*" sort="title"]]
+## More Uncertainty team pages
+- [[books|books]]
+- [[implementations|implementations]]
+- [[papers|papers]]
+- [[rocket_model|rocket_model]]
+- [[to-do|to-do]]
+
+## Tutorials
+
+- [Some tutorials, references, and research on the Kalman filter](http://www.cs.unc.edu/~welch/kalman/) at the [Department of Computer Science](http://www.cs.unc.edu/) at the [University of North Carolina at Chapel Hill](http://www.unc.edu/)
+- [Wikipedia article](http://en.wikipedia.org/wiki/Kalman_filter)
+- [Engineers Look to Kalman Filtering for Guidance](http://www.siam.org/siamnews/mtc/mtc893.htm): Barry Cipra, SIAM News, Vol. 26, No. 5, August 1993
+- [Kalman Filters](http://cnx.rice.edu/content/m11438/latest/) at [Connexions](http://cnx.rice.edu/)
+- Taygeta's [Kalman Filter Information](http://www.taygeta.com/kalman.html) and reading list
+- [Kalman Filtering, Dan Simon, Innovatia Software](http://www.innovatia.com/software/papers/kalman.htm)
+
+
+## Other Web Links
+
+### General introductory material:
+
+- [Wikipedia article](http://en.wikipedia.org/wiki/Kalman_filter)
+- [Engineers Look to Kalman Filtering for Guidance](http://www.siam.org/siamnews/mtc/mtc893.htm): Barry Cipra, SIAM News, Vol. 26, No. 5, August 1993
+- [Some tutorials, references, and research on the Kalman filter](http://www.cs.unc.edu/~welch/kalman/) at the [Department of Computer Science](http://www.cs.unc.edu/) at the [University of North Carolina at Chapel Hill](http://www.unc.edu/)
+- [Kalman Filters](http://cnx.rice.edu/content/m11438/latest/) at [Connexions](http://cnx.rice.edu/)
+- Taygeta's [Kalman Filter Information](http://www.taygeta.com/kalman.html) and reading list
+- [Kalman Filtering, Dan Simon, Innovatia Software](http://www.innovatia.com/software/papers/kalman.htm)
+
+### Kalman filter extensions:
+
+- [The Unscented Kalman Filter for Nonlinear Estimation](http://cslu.cse.ogi.edu/nsel/ukf/)
+- [EnKF-The Ensemble Kalman Filter](http://www.nersc.no/~geir/EnKF/)
+
+### Other Useful Information:
+
+- [Octave vs MatLab](http://www.bio.vu.nl/thb/deb/deblab/debtool/first_oct_matl.html)
+
+### Haskell resources:
+
+- [Matt's DSP library](http://haskelldsp.sourceforge.net): Modules for matrix manpulation, digital signal processing, spectral stimation and frequency estimation
+- [HAT: The Haskell Tracer](http://www.cs.york.ac.uk/fp/hat/#intro): Source level tracer for ghc and nhc98