An algebraic framework for linear identification
By Michel Fliess, H. S. Ramírez. 2003
570 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/cc1731f24e556d606ac9d996ec60770cd4672568
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
- Jesús Linares-Flores
- Carlos García-Rodriguez
- Arturo Hernández Méndez
- Carlos F. Aguilar-Ibáñez
Citations in the corpus
- Robust Nonlinear Adaptive Control of a “Boost” Converter via Algebraic Parameter Identification (2014, methodology): “This is replaced by an algebraic consistency condition which avoids singularities over small open intervals of time (see [6]).”
- Numerical differentiation with annihilators in noisy environment (2009, methodology): “In this paper, the numerical differentiation problem is revised through the algebraic framework of parameter estimation initially presented in [15] (see also [14] and [25]).”
- Model-free control (2013, methodology): “Then the algebraic identification techniques due to Fliess & Sira-Ram´ırez (2003, 2008) are applied to the equation where φ is an unknown constant parameter.”
- Parameter estimation for signals described by differential equations (2009, background): “This problem is approached here with a new standpoint (see also 1 and 2 ) which is based on the following tools, which are of algebraic flavour: • ”