the problem of crack identification in continuous beam like structures is considered. the cracks’ locations and their depths are identified by employing experimental modal test results performed on the structure. the cracks are modeled using generic elements to include the coupling effects between shear forces and bending moments at the crack section. in the identification procedure eigen- sens...

Various techniques of system identification exist providing for a nominal model and uncertainty bound. An important question is what the implications are for the particular choice of the structure in which the uncertainty is described when dealing with robust stability/performance analysis of a given controller and when dealing with robust synthesis. An amplitude-bounded (circular) uncertainty ...

This paper describes an active approach for model identification and failure detection in the presence of quadratically bounded uncertainty. After developing the underlying geometry, two particular examples of this approach involving static and continuous models are described. Several examples are given.

In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes), obtained from Stochastic Subspace Identification of structures, are subject to statistical uncertainty from ambient vibration measurements. It is hence neccessary to evaluate the confidence intervals of these obtained results. This paper will propose an algorithm that can efficiently estim...

High-dimensional identification systems consisting of two groups users in the presence statistical uncertainties are considered this work. The task is to design enrollment mappings compress users' information and an mapping that combines stored database observation estimate underlying user index. compression-identification trade-off regions established for compound, extended general mixture set...

Gold’s [1967. Language identification in the limit. Information and Control, 16, 447–474] celebrated work on learning in the limit has been taken, by many cognitive scientists, to have powerful negative implications for the learnability of language from positive data (i.e., from mere exposure to linguistic input). This provides one, of several, lines of argument that language acquisition must d...

Two studies examined the effects of self-uncertainty and ingroup entitativity on group identification. From uncertainty reduction theory (Hogg, 2000), it was hypothesized that people would identify most strongly with their group if they felt self-conceptually uncertain and the group was highly entitative. Study One was a field experiment (N = 114) in which the perceived entitativity of particip...

A procedure for deriving norm-bounded uncertainty models for MIMO systems is presented. Additive as well as multiplicative input and output uncertainty models with unstructured uncertainty are treated in a unified manner. The models are determined by matching the input-output behavior of an uncertainty model to sets of input-output data obtained, e.g., through system identification. Tight bound...

The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties. Set membership estimation combined with model error modelling technique is used where the approach is based on worst case scenario with unknown but...