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Revision as of 01:53, 2 September 2023 by Mlinaric (talk | contribs) (Add categories, add Python code, edit math)


Description: Model of an Atmospheric Storm Track

This benchmark models the track of an atmospheric storm track. More details can be found in [1] and [2], [3].

Origin

This benchmark is part of the SLICOT Benchmark Examples for Model Reduction[3].

Data

The system matrices A, B, C are available from the SLICOT benchmarks page: eady.zip and are stored as MATLAB .mat file.

Here is Python code for loading the matrices (B and C are stored as arrays of 8-bit unsigned integers):

import numpy as np
from scipy.io import loadmat

mat = loadmat('eady.mat')
A = mat['A']
B = mat['B'].astype(np.float64)
C = mat['C'].astype(np.float64)

Dimensions

System structure:


\begin{align}
  \dot{x}(t) &= A x(t) + B u(t) \\
  y(t) &= C x(t)
\end{align}

System dimensions:

A \in \mathbb{R}^{598 \times 598}, B \in \mathbb{R}^{598 \times 1}, C \in \mathbb{R}^{1 \times 598}.

Citation

To cite this benchmark, use the following references:

  • For the benchmark itself and its data:
Niconet e.V., SLICOT - Subroutine Library in Systems and Control Theory, http://www.slicot.org
@MANUAL{slicot_cdisc,
 title =        {{SLICOT} - Subroutine Library in Systems and Control Theory},
 organization = {Niconet e.V.}
 address =      {\url{http://www.slicot.org}},
 key =          {SLICOT}
}
  • For the background on the benchmark:
@ARTICLE{FarI95,
 author =       {B.F. Farrell and P.J. Ioannou},
 title =        {Stochastic Dynamics of the Midlatitude Atmospheric Jet},
 journal =      {Journal of the Atmospheric Sciences},
 volume =       {52},
 number =       {10},
 pages =        {1642--1656},
 year =         {1995},
 doi =          {10.1175/1520-0469(1995)052<1642:SDOTMA>2.0.CO;2}
}

References

  1. B.F. Farrell, P.J. Ioannou. Stochastic Dynamics of the Midlatitude Atmospheric Jet. Journal of the Atmospheric Sciences, 52(10): 1642--1656, 1995.
  2. Y. Chahlaoui, P. Van Dooren, A collection of Benchmark examples for model reduction of linear time invariant dynamical systems, Working Note 2002-2: 2002.
  3. 3.0 3.1 Y. Chahlaoui, P. Van Dooren, Benchmark Examples for Model Reduction of Linear Time-Invariant Dynamical Systems, Dimension Reduction of Large-Scale Systems, Lecture Notes in Computational Science and Engineering, vol 45: 379--392, 2005.