Title :
Nonperiodic sampling and identifiability
Author :
De la Sen, Manuel ; Dormido, Sebastian
Author_Institution :
Universidad del PaÃ\xads Vasco, Dpto. de Automática e Informática, Facultad de Ciencias, Vizcaya, Spain
Abstract :
It is shown that the state transition matrix may be identified using arbitrary sampling under not very restrictive conditions. A good transmission of the relative measuring errors towards the identification results may be achieved by an adequate choice of the sampling instants using very well known numerical analysis concepts.
Keywords :
sampled data systems; state estimation; control theory; dynamic systems; identifiability; nonperiodic sampling; numerical analysis; relative measuring errors; state transition matrix;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19810643