Engineers agree with the fact that uncertainty is an important issue to get a better model of real behavior. Uncertainty quantification techniques have been largely developed during the recent years; Stochastic and probabilistic collocation methods are clear examples of recent developments. This work is based on a more traditional uncertainty quantification method, as Monte-Carlo method and its...

In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species. RQA and RPs quantify the number and duration of recurrences of a dynamical system, including a detailed quantification of signals that could be stochastic, deterministic, or both. First, we...

This paper studies optimal control problems of unknown linear systems subject to stochastic disturbances uncertain distribution. Uncertainty about the is usually described via ambiguity sets probability measures or distributions. Typically, requires knowledge underlying dynamics and as such challenging. Relying on a fundamental lemma from data-driven framework polynomial chaos expansions, we pr...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 15 June 2020Accepted: 06 August 2021Published online: 01 November 2021Keywordsnonparametric Bayesian approach, design experiments, stochastic simulation, uncertainty quantification, input uncertainty, Dirichlet process mixturesAMS Subject Headings90-10Publication DataISSN...

For the formal verification and design of control systems, abstractions with quantified accuracy are crucial. This is especially case when considering accurate deviation bounds between a stochastic continuous-state model its finite (reduced-order) abstraction. In this work, we introduce coupling compensator to parameterize set relevant couplings give comprehensive computational approach analysi...

the construction industry is a major consumer of new materials. given that material production for construction work accounts for a significant percentage of all energy consumed nationally in newly developing countries, it becomes vital that the construction industry strives to reduce waste at all stages of construction. however, the importance of these construction wastes in terms of types and...

comin the case of pharmaceutical processes, the presence of preservatives can be problematic and the quantity is subject to stringent standards. so, the aim of this study is to quantify the removal of glycerin contained in ultrafiltration flat sheet membranes by filtration and soaking. this is carried out over a wide range of membranes with different characteristics. the selected flat sheet mem...

The test is one of the approaches commonly used for validating systems to ensure qualitative and quantitative implementation requirements. In this paper we are interested in refusals test based for testing stochastic systems. We propose a new kind of refusals graph named stochastic refusals graphs (SRG) for specification in maximality-based stochastic labeled transition systems (MSLTS) model. I...

Mathematical modeling of technical applications often yields systems of differential algebraic equations. Uncertainties of physical parameters can be considered by the introduction of random variables. A corresponding uncertainty quantification requires one to solve the stochastic model. We focus on semiexplicit systems of nonlinear differential algebraic equations with index 1. The stochastic ...