This paper investigates the robust sliding mode control problem for a class of uncertain switched delay systems. A single sliding surface is constructed such that the reduced-order equivalent sliding motion restricted to the sliding surface is completely invariant to all admissible uncertainties. For the cases of known delay and unknown delay, the existence conditions of the sliding surface are...

Factor analysis is a standard method for multivariate analysis. The sampling model in the most popular factor analysis is Gaussian and has thus often been criticized for its lack of robustness. A simple robust extension of the Gaussian factor analysis model is obtained by replacing the multivariate Gaussian distribution with a multivariate t-distribution. We develop computational methods for bo...

A computationally efficient landmark-dependent hierarchical beta process is developed as a prior for data with associated covariates. The landmarks define local regions in the covariate space where feature usages are likely to be similar. The landmark locations are learned, to which the data are linked through normalized kernels. The proposed model is well suited for local latent feature discov...

background the choice of what parameters are needed for the diagnosis of metabolic syndrome (mets) has been criticized due to the lack of an actual “gold standard” diagnostic test even in adults. this problem seems to be greater in children and adolescents. objectives stability assessment of factor structure underlying metabolic syndrome (mets) components from childhood to adolescence in a pane...

In this paper a robust approach for fitting multiplicative models is presented. Focus is on the factor analysis model, where we will estimate factor loadings and scores by a robust alternating regression algorithm. The approach is highly robust, and also works well when there are more variables than observations. The technique yields a robust biplot, depicting the interaction structure between ...

This paper presents a system to identify the spoken language in challenging audio material such as broadcast news shows. The audio material targeted by the system is characterized by a large range of background conditions (e.g. studio recordings vs. outdoor interviews) and a considerable amount of non-native speakers. The designed model-based language classifier automatically identifies interva...

In this article we present a simple robust method named Quasi-Confirmatory Factor Analysis (QCFA), with the purpose of comparing two factor structures, obtained by using exploratory factor analysis (EFA). EFA and CFA (confirmatory factor analysis) approaches, together with other methods that are used in this field, are often used simultaneously in cross-cultural research in testing the possibil...