Modelling and Identification of a Remotely Operated Vehicle

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
\nobtained by parametric identication methods based on experimental data collected in
\nreal operative conditions. The results of this analysis produce a signicative estimation
\nof the parameters variability of the considered class of linear models. In the design of
\nmultiple models controllers this analysis is of main relevance for choosing the number of
\nlinear models and their distribution in the parameters space.