Results 71 to 80 of about 793 (178)
Robust Trajectory Optimization of a Ski Jumper for Uncertainty Influence and Safety Quantification
Proceedings, 2018 This paper deals with the development of a robust optimal control framework for a previously developed multi-body ski jumper simulation model by the authors.
Patrick Piprek, Florian Holzapfel
doaj +1 more source
AIP AdvancesDynamical systems and fractional differential equations can be modeled using variable-order differential operators. In this study, the dynamics of a variable-order fractional Lorenz–Lü–Chen system with variable-order and constant-order derivatives are ...
Najat Almutairi, Sayed Saber
doaj +1 more source
IEEE Access, 2019 As new services and business models are being associated with the power distribution network, it becomes of great importance to include load uncertainty in predictive computational tools.
Giambattista Gruosso +4 more
doaj +1 more source
Cogent Engineering, 2019 In this paper, a hybrid pseudo-spectral (hPS) method is utilized to analyze the uncertainty of the model predictive control (MPC) for nonlinear systems with stochastic parameter uncertainty.
Ali Namadchian, Mehdi Ramezani
doaj +1 more source
TecnoLógicas, 2018 This paper presents a review of commonly-cited methods for estimating uncertainty in the literature. One of them is the non-stochastic approach proposed by the Guide to the Expression of Uncertainty in Measurement (GUM), which provides an estimation ...
Jhon J. Cárdenas-Monsalve +2 more
doaj +1 more source
Uncertainty Quantification for a Blood Pump Device with Generalized Polynomial Chaos Expansion [PDF]
, 2018 Nowadays, an increasing number of numerical modeling techniques, notably by means of the finite element method (FEM), are involved in the industrial design process and play a vital role in the area of the biomedical engineering. Particularly, the computational fluid dynamics (CFD) has become a promising tool for investigating the fluid behavior and has
openaire +2 more sources
A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model [PDF]
Nonlinear Processes in Geophysics, 2004 This study presents a simple and efficient scheme for Bayesian estimation of uncertainty in soil moisture simulation by a Land Surface Model (LSM). The scheme is assessed within a Monte Carlo (MC) simulation framework based on the Generalized Likelihood ...
F. Hossain, E. N. Anagnostou, K.-H. Lee
doaj
Solving Continuous Models with Dependent Uncertainty: A Computational Approach
Abstract and Applied Analysis, 2013 This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.’s) which is assumed to depend on a finite number of random variables (r.v.’s).
J.-C. Cortés +4 more
doaj +1 more source
Ain Shams Engineering JournalIn this paper, we present a dynamic model of syphilis. The goal of this work is to provide a mathematical model for syphilis disease that contains information about the suspect, infected, recovered, and exposed.
Muhammad Farman +5 more
doaj +1 more source