Abstract
MUMI: Multisine for multiple input systems: a user-friendly excitation toolbox for physical systems. Scientists and engineers want accurate mathematical models of physical systems for understanding, design, and control. To obtain accurate models, persistently exciting rich signals are needed. The MUMI Matlab toolbox creates multisine signals to assess the underlying systems in a time efficient, user-friendly way. In order to avoid any spectral leakage, to reach full nonparametric characterization of the noise, and to be able to detect nonlinearities and time-variations, multisine signals can be used. By the use of the toolbox, inexperienced users can easily create state-of-the-art excitation signals to be used to perturbate almost any physical systems.
| Date made available | 22 Nov 2021 |
|---|---|
| Publisher | Code Ocean |
| Date of data production | 22 Nov 2021 |
Keywords
- Automatic processing
- Data segmentation
- Direct field acoustic excitation
- Ground vibration testing
- MIMO systems
- Nonlinear system identification
- onparametric estimation
- Transient elimination
- User-friendly methods
Format
- Format
- m
- txt
- fig
- yml
Projects
- 1 Finished
-
SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling
De Troyer, T. (Administrative Promotor), Runacres, M. (Co-Promotor), Blondeau, J. (Co-Promotor), Bram, S. (Co-Promotor), Bellemans, A. (Co-Promotor) & Contino, F. (Co-Promotor)
1/03/19 → 29/02/24
Project: Fundamental
Research output
- 1 Article
-
User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs
Csurcsia, P. Z., Peeters, B. & Schoukens, J., 1 Nov 2020, In: Mechanical Systems and Signal Processing. 145, 1, p. 1-31 31 p., 106926.Research output: Contribution to journal › Article › peer-review
File27 Citations (Scopus)227 Downloads (Pure)
Cite this
- DataSetCite