Showing papers by "M Maarten Steinbuch published in 1993"
02 Jun 1993
TL;DR: In this article, a general approach for modeling structured real-valued parametric perturbations is presented, based on a decomposition of perturbation into linear fractional transformations (LFTs).
Abstract: In this paper a general approach for modelling structured real-valued parametric perturbations is presented. It is based on a decomposition of perturbations into linear fractional transformations (LFTs), and is applicable to rational multi-dimensional (ND) polynomial perturbations of entries in state-space models. Model reduction is used to reduce the size of the uncertainty structure. The procedure will be applied for the uncertainty modelling of an aircraft model depending on altitude and velocity (flight envelope).
108 citations
15 Dec 1993
TL;DR: In this paper, a control relevant parametric identification of a servo system present in a compact disc player is discussed, where an approximate closed loop identification problem is solved to come up with a linear multivariable discrete time model, suitable for control design.
Abstract: This paper discusses the control relevant parametric identification of a servo system present in a compact disc player. In this application an approximate closed loop identification problem is solved in order to come up with a linear multivariable discrete time model, suitable for control design. This identification problem is handled by a recently introduced two stage method. It yields an explicit and tunable expression for the bias distribution of the model being estimated, clearly showing the dynamics or the closed loop system in the (asymptotic) approximation criterion. This result is exploited to identify the model in a control relevant way by additional data filtering. The recently introduced method by Vries-Van den Hof (1993) for model uncertainty quantification is used to construct an upper bound for the corresponding model error. >
27 citations