2022
DOI: 10.1080/00207721.2022.2025948
|View full text |Cite
|
Sign up to set email alerts
|

Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
23
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 20 publications
(23 citation statements)
references
References 167 publications
0
23
0
Order By: Relevance
“…Remark 3 See [Mboup et al(2009)] and [Othmane et al(2021), Othmane et al(2022)] for more details. Note also that estimating derivatives via integrals seems to have been first introduced by [Lanczos(1956)].…”
Section: Derivative Estimatementioning
confidence: 99%
“…Remark 3 See [Mboup et al(2009)] and [Othmane et al(2021), Othmane et al(2022)] for more details. Note also that estimating derivatives via integrals seems to have been first introduced by [Lanczos(1956)].…”
Section: Derivative Estimatementioning
confidence: 99%
“…can be approximated as low-pass filters of an arbitrary order, and the parameters can be computed from a desired cutoff frequency and the desired filter order. A summary of the tuning guidelines and their application on example case studies can be found in Othmane, Kiltz, and Rudolph (2022). An exhaustive list of applications including parameter estimation, state reconstruction, feedback control, fault diagnosis, anomaly detection, fault-tolerant control, and model-free control has been provided in Othmane et al (2022).…”
Section: Résumémentioning
confidence: 99%
“…A summary of the tuning guidelines and their application on example case studies can be found in Othmane, Kiltz, and Rudolph (2022). An exhaustive list of applications including parameter estimation, state reconstruction, feedback control, fault diagnosis, anomaly detection, fault-tolerant control, and model-free control has been provided in Othmane et al (2022). A MATLAB and Python toolbox implementing all necessary functions for the design, analysis, and discretisation of the filters has been released with the discussions in Othmane et al (2022) and is accessible in .…”
Section: Résumémentioning
confidence: 99%
See 2 more Smart Citations