Add to ORKGInternational audienceWe are presenting new and efficient methods for numerical differentiation, i.e., for estimating derivatives of a noisy time signal. They are illustrated, via convincing numerical simulations, by the analysis of an academic signal and by the feedback control of a nonlinear system
International audienceThe recent algebraic parametric method proposed by Fliess and Sira-Ramirez has...
International audienceIn this article, we propose a multidimensional numerical differentiation metho...
In this note, we propose high-gain numerical differentiators for estimating the higher derivatives o...
International audienceWe are presenting new and efficient methods for numerical differentiation, i.e...
International audienceNumerical differentiation in noisy environment is revised through an algebraic...
AbstractWe present an innovative method for multivariate numerical differentiation i.e. the estimati...
International audienceWe present an innovative method for multivariate numerical differentiation i.e...
International audienceIn this note, firstly a modified numerical differentiation scheme is presented...
International audienceNon-linear state estimation and some related topics, like parametric estimatio...
International audienceIn this paper, the numerical differentiation by integration method based on Ja...
The numerical differentiation has been considered an important problem to deal in control, signal pr...
Abstract Numerical differentiation in noisy environment is revised through an algebraic approach. Fo...
International audienceThe historical developments, parametrization, and numerous applications of alg...
AbstractIn this paper, the numerical differentiation by integration method based on Jacobi polynomia...
International audienceNumerical causal derivative estimators from noisy data are essential for real ...
International audienceThe recent algebraic parametric method proposed by Fliess and Sira-Ramirez has...
International audienceIn this article, we propose a multidimensional numerical differentiation metho...
In this note, we propose high-gain numerical differentiators for estimating the higher derivatives o...
International audienceWe are presenting new and efficient methods for numerical differentiation, i.e...
International audienceNumerical differentiation in noisy environment is revised through an algebraic...
AbstractWe present an innovative method for multivariate numerical differentiation i.e. the estimati...
International audienceWe present an innovative method for multivariate numerical differentiation i.e...
International audienceIn this note, firstly a modified numerical differentiation scheme is presented...
International audienceNon-linear state estimation and some related topics, like parametric estimatio...
International audienceIn this paper, the numerical differentiation by integration method based on Ja...
The numerical differentiation has been considered an important problem to deal in control, signal pr...
Abstract Numerical differentiation in noisy environment is revised through an algebraic approach. Fo...
International audienceThe historical developments, parametrization, and numerous applications of alg...
AbstractIn this paper, the numerical differentiation by integration method based on Jacobi polynomia...
International audienceNumerical causal derivative estimators from noisy data are essential for real ...
International audienceThe recent algebraic parametric method proposed by Fliess and Sira-Ramirez has...
International audienceIn this article, we propose a multidimensional numerical differentiation metho...
In this note, we propose high-gain numerical differentiators for estimating the higher derivatives o...