Robustness of nonlinear parameter identification in the presence of process noise using control-based continuation
Abstract In this study, we consider the experimentally obtained, periodically forced response of a nonlinear structure in the presence of process noise. Control-based continuation is used to measure both the stable and unstable periodic solutions, while different levels of noise are injected into the system. Using these data, the robustness of the control-based continuation algorithm and its ability to capture the noise-free system response are assessed by identifying the parameters of an associated Duffing-like model. We demonstrate that control-based continuation extracts system information more robustly, in the presence of a high level of noise, than open-loop parameter sweeps and so is a valuable tool for investigating nonlinear structures..
| Medienart: |
Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:104 |
|---|---|
| Enthalten in: |
Nonlinear dynamics - 104(2021), 2 vom: 25. März, Seite 885-900 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Beregi, Sandor [VerfasserIn] |
|---|
| Links: |
Volltext [lizenzpflichtig] |
|---|
| Themen: |
Control-based continuation |
|---|
| Anmerkungen: |
© The Author(s) 2021 |
|---|
| doi: |
10.1007/s11071-021-06347-w |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
OLC2125245388 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2125245388 | ||
| 003 | DE-627 | ||
| 005 | 20230505100805.0 | ||
| 007 | tu | ||
| 008 | 230505s2021 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11071-021-06347-w |2 doi | |
| 035 | |a (DE-627)OLC2125245388 | ||
| 035 | |a (DE-He213)s11071-021-06347-w-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 510 |q VZ |
| 084 | |a 11 |2 ssgn | ||
| 100 | 1 | |a Beregi, Sandor |e verfasserin |0 (orcid)0000-0002-3167-9250 |4 aut | |
| 245 | 1 | 0 | |a Robustness of nonlinear parameter identification in the presence of process noise using control-based continuation |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © The Author(s) 2021 | ||
| 520 | |a Abstract In this study, we consider the experimentally obtained, periodically forced response of a nonlinear structure in the presence of process noise. Control-based continuation is used to measure both the stable and unstable periodic solutions, while different levels of noise are injected into the system. Using these data, the robustness of the control-based continuation algorithm and its ability to capture the noise-free system response are assessed by identifying the parameters of an associated Duffing-like model. We demonstrate that control-based continuation extracts system information more robustly, in the presence of a high level of noise, than open-loop parameter sweeps and so is a valuable tool for investigating nonlinear structures. | ||
| 650 | 4 | |a Parameter identification | |
| 650 | 4 | |a Control-based continuation | |
| 650 | 4 | |a Process noise | |
| 650 | 4 | |a Nonlinear physical oscillator | |
| 700 | 1 | |a Barton, David A. W. |0 (orcid)0000-0002-0595-4239 |4 aut | |
| 700 | 1 | |a Rezgui, Djamel |0 (orcid)0000-0002-9442-4335 |4 aut | |
| 700 | 1 | |a Neild, Simon A. |0 (orcid)0000-0003-4122-4513 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Nonlinear dynamics |d Springer Netherlands, 1990 |g 104(2021), 2 vom: 25. März, Seite 885-900 |w (DE-627)130936782 |w (DE-600)1058624-6 |w (DE-576)034188126 |x 0924-090X |7 nnns |
| 773 | 1 | 8 | |g volume:104 |g year:2021 |g number:2 |g day:25 |g month:03 |g pages:885-900 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11071-021-06347-w |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-PHY | ||
| 912 | |a SSG-OLC-CHE | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OPC-MAT | ||
| 951 | |a AR | ||
| 952 | |d 104 |j 2021 |e 2 |b 25 |c 03 |h 885-900 | ||