Background | |
---|---|
Benchmark ID |
random_n200m1q1 |
Category |
slicot |
System-Class |
LTI-FOS |
Parameters | |
nstates |
200
|
ninputs |
1 |
noutputs |
1 |
nparameters |
0 |
components |
A, B, C |
Copyright | |
License |
NA |
Creator | |
Editor | |
Location | |
NA |
Description: Random Example
This benchmark models is a randomly generated system. 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: random.zip and are stored as MATLAB .mat file.
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_rand, 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:
@MASTERSTHESIS{DeC97, author = {V. De Clippel}, title = {Mod\`eles R\'eduits de Grands Syst\`emes Dynamiques}, school = {Universit\'e Catholique de Louvain}, year = {1997} }
References
- ↑ V. De Clippel. Modeles Reduits de Grands Systemes Dynamiques. Universite catholique de Louvain, 1997.
- ↑ 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.