Title :
An approach to continuous-time model identification from non-uniformly sampled data
Author :
Huselstein, Eric ; Garnier, Hugues
Author_Institution :
Centre de Recherche en Automatique de Nancy, Univ. Henri Poincare, Vandoeuvre-les-Nancy, France
Abstract :
This paper focusses on continuous-time model identification from non-uniformly sampled data. It is shown that the simplified refined instrumental variable method for continuous-time model identification can easily handle the case of non-uniformly sampled data. Simulation examples are included to illustrate the proposed method.
Keywords :
continuous time systems; control system analysis computing; identification; sampled data systems; CONTSID toolbox; SISO systems; continuous-time model; identification; instrumental variable; linear time invariant causal system; nonuniformly sampled data; second-order system; Equations; Filtering; Instruments; Low pass filters; Mathematical model; Nonlinear filters; Numerical simulation; Parameter estimation; Sampling methods; System identification;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184570
