International audience— In this communication, we discuss two estimation problems dealing with partial derivatives systems. Namely, estimating partial derivatives of a multivariate noisy signal and identifying parameters of partial differential equations. The multivariate noisy signal is expressed as a truncated Taylor expression in a small time interval. An algebraic method can be then used to estimate its partial derivatives in the opera-tional domain. The same approach applies for the parameter identification problem. The main objects in the aforementioned algebraic method are particular differential operators called annihilators. Stafford's theorem can be applied to formalize the left ideal in the Weyl algebra formed by the annihilators...
This report describes how parameter estimation can be performed in linear DAE systems. Both time dom...
AbstractThis paper develops two algorithms. Algorithm 1 computes the exact, Gaussian, log-likelihood...
International audienceIn many applications, the estimation of derivatives has to be done from noisy ...
International audience— In this communication, we discuss two estimation problems dealing with parti...
International audienceTwo goals are sought in this paper: namely, to provide a succinct overview on ...
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 audienceThis communication revisits the algebra-based results for derivative estimatio...
International audienceThis paper provides a contribution to the parameter esti-mation methods for no...
International audienceThe paper aims at developing the first steps toward a symbolic computation app...
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a system of ...
In computational science it is common to describe dynamic systems by mathematical models in forms of...
Abstract Numerical differentiation in noisy environment is revised through an algebraic approach. Fo...
The paper presents a methodology for designing regression filters. The signal x needs to be locally ...
Während für durch gewöhnliche Differentialgleichungen beschriebene Systeme eine Vielzahl an bekannte...
This report describes how parameter estimation can be performed in linear DAE systems. Both time dom...
AbstractThis paper develops two algorithms. Algorithm 1 computes the exact, Gaussian, log-likelihood...
International audienceIn many applications, the estimation of derivatives has to be done from noisy ...
International audience— In this communication, we discuss two estimation problems dealing with parti...
International audienceTwo goals are sought in this paper: namely, to provide a succinct overview on ...
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 audienceThis communication revisits the algebra-based results for derivative estimatio...
International audienceThis paper provides a contribution to the parameter esti-mation methods for no...
International audienceThe paper aims at developing the first steps toward a symbolic computation app...
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a system of ...
In computational science it is common to describe dynamic systems by mathematical models in forms of...
Abstract Numerical differentiation in noisy environment is revised through an algebraic approach. Fo...
The paper presents a methodology for designing regression filters. The signal x needs to be locally ...
Während für durch gewöhnliche Differentialgleichungen beschriebene Systeme eine Vielzahl an bekannte...
This report describes how parameter estimation can be performed in linear DAE systems. Both time dom...
AbstractThis paper develops two algorithms. Algorithm 1 computes the exact, Gaussian, log-likelihood...
International audienceIn many applications, the estimation of derivatives has to be done from noisy ...