Background | |
---|---|
Benchmark ID |
earthAtmosphere_n598m1q1 |
Category |
slicot |
System-Class |
LTI-FOS |
Parameters | |
nstates |
598
|
ninputs |
1 |
noutputs |
1 |
nparameters |
0 |
components |
A, B, C |
Copyright | |
License |
NA |
Creator | |
Editor | |
Location | |
NA |
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 ,
,
are available from the SLICOT benchmarks page: eady.zip and are stored as MATLAB .mat file.
Here is Python code for loading the matrices ( and
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:
System dimensions:
,
,
.
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
- ↑ B.F. Farrell, P.J. Ioannou. Stochastic Dynamics of the Midlatitude Atmospheric Jet. Journal of the Atmospheric Sciences, 52(10): 1642--1656, 1995.
- ↑ Y. Chahlaoui, P. Van Dooren, A collection of Benchmark examples for model reduction of linear time invariant dynamical systems, Working Note 2002-2: 2002.
- ↑ 3.0 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.