Sentence examples for identification of continuous from inspiring English sources
The modulating functions method is well known for identification of continuous, linear, time-invariant system CLTIS.
The program "Filtering and Identification Tool" designed for MATLAB provides an easy to handle tool for linear system identification of continuous time domain systems.
However, even though the field of continuous time system identification is now mature, results on parsimonious model identification of continuous time systems are still very limited.
Rock magnetic identification of continuous record of terrestrial dust particles and extraterrestrial fallout in ice cores of Greenland and Antarctica was carried out by Lanci et al. (2012).
Similarly, the three coldest months were also consecutive (Jul-Sep at all but one survey location), thereby enabling identification of continuous seasons for each location.
In 1960, introduction of the Scribner shunt allowed identification of continuous hemodialysis [ 1].
This paper presents theory, algorithms and validation results for system identification of continuous-time state-space models from finite non-uniformly sampled input-output sequences.
This paper presents the CONTSID toolbox for the identification of continuous-time transfer function or state-space models for linear time-invariant SISO and MIMO systems from sampled input/output data.
A consequence of the theory is spectral theory for the Laplace Beltrami operator including identification of the continuous spectrum and absence of singular continuous spectrum.
Ten years ago, an MSSP paper reviewing the progress achieved until then [1] concluded that the identification of simple continuous structures with localised nonlinearities was within reach.
This study aimed to investigate the impacts of spatially distributed streamflow and streamwater Inorganic Nitrogen (IN) concentration observations on the identification of a continuous time, spatially semi-distributed and process-based hydrological water quality model HYPE (HYdrological Predictions for the Environment).
