in this paper, sufficient conditions are proposed to investigate the robust stability of arbitrary switched linear systems with uncertain parameters belongs to the known intervals. in addition, a method is then established to determine the maximum intervals of parameters' variations which guarantee robust exponential stability of uncertain switched linear systems under arbitrary switching. in t...

In the Western world, consumers complain about the soaring of non-interest bank fees during the recent years, the post global financial crisis in particular. Commercial banks charge a variety of non-interest fees for their transactions. This paper empirically tests whether the free charges are significantly different between conventional commercial banks and interest free Islamic banks. The ave...

Abstract In model-based control schemes, the importance of performing robust stability and performance analysis is partly due to the presence of uncertainty. This uncertainty can be modeled as structured or unstructured, though this paper deals primarily with structured uncertainty, specifically parametric uncertainty. Parametric uncertainty can be manifested in the form of parametric tolerance...

A Bayesian approach is presented for model-based classification of images with application to synthetic-aperture radar. Posterior probabilities are computed for candidate hypotheses using physical features estimated from sensor data along with features predicted from these hypotheses. The likelihood scoring allows propagation of uncertainty arising in both the sensor data and object models. The...

Uncertainty in parameter estimates from sampling variation or expert judgment can introduce substantial uncertainty into ecological predictions based on those estimates. However, in standard population viability analyses, one of the most widely used tools for managing plant, fish and wildlife populations, parametric uncertainty is often ignored in or discarded from model projections. We present...

The parametric uncertainty may occur in modelling and description of real systems as a consequence of inaccurate measurement, identification, due to ambient conditions, etc. The structure of systems with parametric uncertainty is known but parameters can vary within given or supposed intervals. The fundamental factor for choosing of appropriate robust stability analysis tool is the uncertainty ...

The paper deals with comparison of two principal approaches to uncertainty modelling and related robust stability analyses for a system with uncertain time-delay. A paper bleaching process, used as a testing plant, is described first as a system with parametric uncertainty and then in the form of unstructured multiplicative uncertainty model. The robust stability or instability of closed contro...

In this paper, uncertainty analysis is carried out on both a simple parametric roll model which can be modeled as a Mathieu equation and a 1.5 degree-of-freedom parametric roll model in regular seas. For both cases, the uncertainty is brought into the system due to the error in predicting the damping coefficients. The non-intrusive polynomial chaos method has been used to assess how the paramet...