A revised look at numerical differentiation with an application to nonlinear feedback control
By Mamadou Lamine Mboup, Cédric Join, Michel Fliess. Mediterranean Conference on Control and Automation, 2007
186 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/cf099afc8a276294c904a332d3892de207e86509
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Cédric Join
- Hebertt Sira-Ramírez
- Michel Fliess
- Mamadou Lamine Mboup
- T. Laleg‐Kirati
- Wilfrid Perruquetti
- Olivier Gibaru
- Dayan Liu
Citations in the corpus
- Non-asymptotic state estimation for a class of linear time-varying systems with unknown inputs (2014, methodology): “When this algebraic method is used for numerical differentiation problem, thanks to the proposed integral formulae, it also refers to the differentiation by integration method well known for the Lanczos generalized derivative (see [13] p. 324).”
- Numerical differentiation with annihilators in noisy environment (2009, background): “However, not only the coefficients x(i)(0), i = n are not necessary for the estimation of x(n)(t) as explained above, but also simultaneous estimation is more sensitive to noise and numerical computation errors [26].”
- Non-linear estimation is easy (2007, background): “See Mboup, Join & Fliess (2007)) for fundamental theoretical developments.”