| Background | |
|---|---|
| Benchmark ID |
convectionReaction_n84m1q1 |
| Category |
slicot |
| System-Class |
LTI-FOS |
| Parameters | |
| nstates |
84
|
| ninputs |
1 |
| noutputs |
1 |
| nparameters |
0 |
| components |
A, B, C |
| Copyright | |
| License |
NA |
| Creator | |
| Editor | |
| Location | |
|
NA | |
Description
This benchmark models a chemical reaction by a convection-reaction partial differential equation on the unit square, given by:
with Dirichlet boundary conditions and discretized with centered difference approximation.
The input vector
is composed of random elements and the output vector equals the input vector
.
More details can be found in [1], [2], [3] and [4], [5].
Origin
This benchmark is part of the SLICOT Benchmark Examples for Model Reduction[5].
Data
The system matrices
,
,
are available from the SLICOT benchmarks page: pde.zip and are stored as MATLAB .mat file.
Here is Python code for loading the matrices (
is a sparse matrix of 16-bit integers and
and
are full matrices stored as sparse matrices):
import numpy as np from scipy.io import loadmat mat = loadmat('build.mat') A = mat['A'].astype(np.float64) B = mat['B'].toarray() C = mat['C'].toarray()
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_pde,
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{Saa88,
author = {Y. Saad},
title = {Projection and deflation method for partial pole assignment in linear state feedback},
journal = {IEEE Transactions on Automatic Control},
volume = {33},
number = {3},
pages = {290--297},
year = {1988},
doi = {10.1109/9.406}
}
References
- ↑ P. Raschman, M. Kuhicek, M. Maros. Waves in distributed chemical systems: Experiments and computations. In: New Approaches to Nonlinear Problems in Dynamics - Proceedings of the Asilomar Conference Ground: 271--288, SIAM, 1980.
- ↑ Y. Saad. Projection and deflation method for partial pole assignment in linear state feedback, IEEE Transactions on Automatic Control, 33(3): 290--297, 1988.
- ↑ E.J. Grimme. Krylov Projection Methods for Model Reduction. PhD Thesis, University of Illinois at Urbana-Champaign, 1998.
- ↑ Y. Chahlaoui, P. Van Dooren, A collection of Benchmark examples for model reduction of linear time invariant dynamical systems, Working Note 2002-2: 2002.
- ↑ 5.0 5.1 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.

