The linear models obtained by linearization and discretization of the dynamics of a remotely operated vehicle around the operating points are compared with the linear models obtained by parametric identication methods based on experimental data collected in real operative conditions. The results of this analysis produce a signicative estimation of the parameters variability of the considered class of linear models. In the design of multiple models controllers this analysis is of main relevance for choosing the number of linear models and their distribution in the parameters space.
Modelling and Identification of a Remotely Operated Vehicle / Ippoliti, Gianluca; Longhi, Sauro; Radicioni, A.. - In: PROCEEDINGS OF THE INSTITUTE OF MARINE ENGINEERING, SCIENCE AND TECHNOLOGY (PART A) JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY. - ISSN 1476-1548. - 1:(2002), pp. 48-56.
Modelling and Identification of a Remotely Operated Vehicle
IPPOLITI, Gianluca;LONGHI, SAURO;
2002-01-01
Abstract
The linear models obtained by linearization and discretization of the dynamics of a remotely operated vehicle around the operating points are compared with the linear models obtained by parametric identication methods based on experimental data collected in real operative conditions. The results of this analysis produce a signicative estimation of the parameters variability of the considered class of linear models. In the design of multiple models controllers this analysis is of main relevance for choosing the number of linear models and their distribution in the parameters space.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
