Results 71 to 80 of about 1,546 (231)
Journal of Applied Mathematics, 2014 We derive a new method of conditional Karhunen-Loève (KL) expansions for stochastic coefficients in models of flow and transport in the subsurface, and in particular for the heterogeneous random permeability field.
Mina E. Ossiander +2 more
doaj +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Designing safe control laws for nonlinear systems is challenging, especially when ensuring stability under actuator saturation and state constraints. A key aspect is embedding controllers with a Region of Attraction (ROA), which defines initial conditions guaranteeing convergence to a stable equilibrium point (EP).
Bhaskar Biswas +3 more
wiley +1 more source
Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
Systems Engineering, EarlyView.ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
wiley +1 more source
STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE
Jixie qiangdu, 2021 Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei +3 more
doaj
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
Uncertainty Quantification in Computational Electromagnetics: The stochastic approach [PDF]
, 2013 Models in electromagnetism are more and more accurate. In some applications, the gap between the experience and the model comes from the deviation on input data of the model which are not perfectly known.
CLENET, Stephane
core
An adaptive hierarchical sparse grid collocation method for stochastic scattering systems analysis
, 2014 To quantify the impacts of random inputs on hybrid electromagnetics (EM)-circuit systems or EM scattering from objects, an adaptive hierarchical sparse grid collocation (ASGC) algorithm combined with discontinuous Galerkin time-domain (DGTD) method is ...
Jiang, Li (Lijun) Jun +3 more
core +1 more source
The Influence of Random Element Displacement on DOA Estimates Obtained with (Khatri–Rao-)Root-MUSIC
Sensors, 2014 Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Veronique Inghelbrecht +3 more
doaj +1 more source
Natural Resources Forum, EarlyView.ABSTRACT The MENA region faces a critical challenge: balancing economic growth spurred by foreign direct investment (FDI) with environmental sustainability. While FDI can bring technological advancements and capital, concerns exist about its potential to exacerbate environmental degradation, particularly carbon emissions.
Brahim Bergougui, Syed Mansoob Murshed
wiley +1 more source
Stochastic Galerkin-collocation splitting for PDEs with random parameters
, 2018 We propose a numerical method for time-dependent, semilinear partial differential equations (PDEs) with random parameters and random initial data. The method is based on an operator splitting approach.
Stein, Benny, Jahnke, Tobias
core +1 more source