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Algorithm: Optimal Combined Stochastic and Set-membership State Estimation Demo-Scenario

Description:
In the simulated scenario the measurements suffer from both stochastic and set-valued errors, the latter stemming from discretization errors.

You can vary the amount of measurements in each time-step.

1st plot: Visulization of measurements
2nd plot: Regular KF with set-uncertainty
3rd plot: Set-optimal KF
4th plot: Optimal Combined Stochastic and ... (show more)
Tags: ellipsoid
Usage: Algorithm is public.
Viewed 3020 times, called 190 times
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1 vote
Florian Pfaff
09/06/2012 12:28 a.m. (version #1)

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Using this algorithm in your local MATLAB environment is easy: Click here for instructions!

Usage Instructions for CloudRunner Client

  1. Download the CloudRunner Client by clicking here and place the downloaded file in your MATLAB working directory.

  2. Inside MATLAB, initialize the CloudRunner Client by calling CloudRunner:
    >> CloudRunner

    A login dialog will prompt for your CloudRunner mail address and password. For a start, you can leave the dialog empty and just click "Connect".

    Alternatively, you can provide the login credentials (or empty strings to skip login) as a parameter and hence skip the login dialog. This is useful when using CloudRunner in non-interactive scripts.
    >> CloudRunner('mail@example.com', 'password')

  3. Select this algorithm by its URL. Selecting an algorithm creates the lambda function that proxies calls to the algorithm to the server for execution:
    >> CloudRunnerSelect('http://www.cloudrunner.eu/algorithm/79/optimal-combined-stochastic-and-set-membership-state-estimation-demo-scenario/version/1/')

    For the sake of convenience, you can also use the algorithm ID instead of its URL for public algorithms.

  4. Call functions from the algorithm like any regular local function.

Note: You can find further information on the help page.

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