Add to ORKGKD,M, Mass, damping and stiffness matrices)(tf Force vector)(tx State vector CB,A, State space matrices cA System matrix in continuous time ky System response in discrete time dA System matrix in discrete time Y System response matrix N Number of data points M Number of measurement channels kR Covariance matrix at time lag
<p>The uncertainties of <i>t</i><sub><i>P</i></sub> and <i>t</i><sub><i>D</i></sub> are calculated f...
International audienceThis paper presents a system matrices identification approach directly from th...
A geometrically inspired matrix algorithm is derived for the identification of state space models fo...
A state space system matrix ()tx state vector B state space load matrix ()tx state vector time d...
In this work a dynamic state-space model was constructed using a Hankel matrix formulation. A novel ...
abstractpublished_or_final_versionMechanical EngineeringDoctoralDoctor of Philosoph
In this paper, we derive identification results for the number of factors and lags in high dimension...
A geometrically inspired matrix algorithm is derived for the identification of statespace models for...
Linear time invariant system models are insufficient for physical systems which have deterministic o...
A time domain method is given for estimating the matrix of related parameters in linear systems with...
This work presents a novel least squares matrix algorithm (LSM) for the analysis of rapidly changing...
The classical time-invariant Hankel-norm approximation problem is generalized to the time-varying co...
The General Realization Algorithm (GRA) is developed to identify modal parameters of linear multi-de...
<p>A) <i>FIRST ROW:</i> Representation of the time-invariant coefficients of the eigenvector matrix ...
AbstractThe concept of Hankel matrices of Markov parameters associated with two polynomials is gener...
<p>The uncertainties of <i>t</i><sub><i>P</i></sub> and <i>t</i><sub><i>D</i></sub> are calculated f...
International audienceThis paper presents a system matrices identification approach directly from th...
A geometrically inspired matrix algorithm is derived for the identification of state space models fo...
A state space system matrix ()tx state vector B state space load matrix ()tx state vector time d...
In this work a dynamic state-space model was constructed using a Hankel matrix formulation. A novel ...
abstractpublished_or_final_versionMechanical EngineeringDoctoralDoctor of Philosoph
In this paper, we derive identification results for the number of factors and lags in high dimension...
A geometrically inspired matrix algorithm is derived for the identification of statespace models for...
Linear time invariant system models are insufficient for physical systems which have deterministic o...
A time domain method is given for estimating the matrix of related parameters in linear systems with...
This work presents a novel least squares matrix algorithm (LSM) for the analysis of rapidly changing...
The classical time-invariant Hankel-norm approximation problem is generalized to the time-varying co...
The General Realization Algorithm (GRA) is developed to identify modal parameters of linear multi-de...
<p>A) <i>FIRST ROW:</i> Representation of the time-invariant coefficients of the eigenvector matrix ...
AbstractThe concept of Hankel matrices of Markov parameters associated with two polynomials is gener...
<p>The uncertainties of <i>t</i><sub><i>P</i></sub> and <i>t</i><sub><i>D</i></sub> are calculated f...
International audienceThis paper presents a system matrices identification approach directly from th...
A geometrically inspired matrix algorithm is derived for the identification of state space models fo...