Multivariable output–error identification does not constitute, in any way, a straightforward extension of the scalar case. The aim of this paper is twofold: 1) Introduction of a new minimal parametrization for multivariable output error models leading to an easily implementable prediction error identification procedure; 2) Comparison of PEM and errors–in–variables approaches based on the dynamic Frisch scheme in the identification of MIMO output error processes.
On the use of minimal parametrizations in multivariable output-error identification / R. Guidorzi; R. Diversi. - ELETTRONICO. - (2011), pp. 1510-1515. (Intervento presentato al convegno 19th IEEE Mediterranean Conference on Control and Automation tenutosi a Corfù, Grecia nel 20-23 Giugno, 2011) [10.1109/MED.2011.5983060].
On the use of minimal parametrizations in multivariable output-error identification
GUIDORZI, ROBERTO;DIVERSI, ROBERTO
2011
Abstract
Multivariable output–error identification does not constitute, in any way, a straightforward extension of the scalar case. The aim of this paper is twofold: 1) Introduction of a new minimal parametrization for multivariable output error models leading to an easily implementable prediction error identification procedure; 2) Comparison of PEM and errors–in–variables approaches based on the dynamic Frisch scheme in the identification of MIMO output error processes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
