[HTML][HTML] A Chebyshev interval method for nonlinear dynamic systems under uncertainty

J Wu, Y Zhang, L Chen, Z Luo - Applied Mathematical Modelling, 2013 - Elsevier
This paper proposes a new interval analysis method for the dynamic response of nonlinear
systems with uncertain-but-bounded parameters using Chebyshev polynomial series …

Managing uncertainty in integrated environmental modelling: The UncertWeb framework

L Bastin, D Cornford, R Jones, GBM Heuvelink… - … Modelling & Software, 2013 - Elsevier
Web-based distributed modelling architectures are gaining increasing recognition as
potentially useful tools to build holistic environmental models, combining individual …

[PDF][PDF] Analysis and Adaptive Synchronization of Two Novel Chaotic Systems with Hyperbolic Sinusoidal and Cosinusoidal Nonlinearity and Unknown Parameters.

S Vaidyanathan - Journal of Engineering Science & Technology Review, 2013 - jestr.org
This research work describes the modelling of two novel 3-D chaotic systems, the first with a
hyperbolic sinusoidal nonlinearity and two quadratic nonlinearities (denoted as system (A)) …

[PDF][PDF] Analysis and anti-synchronization of a novel chaotic system via active and adaptive controllers

V Sundarapandian - Journal of Engineering Science and …, 2013 - pdfs.semanticscholar.org
Anti-synchronization of chaotic systems deals with the problem of asymptotically
synchronizing the sum of states of a pair of chaotic systems called master and slave systems …

A polynomial chaos-based Kalman filter approach for parameter estimation of mechanical systems

ED Blanchard, A Sandu, C Sandu - 2010 - asmedigitalcollection.asme.org
Mechanical systems operate under parametric and external excitation uncertainties. The
polynomial chaos approach has been shown to be more efficient than Monte Carlo for …

[HTML][HTML] A new hybrid uncertainty optimization method for structures using orthogonal series expansion

J Wu, Z Luo, H Li, N Zhang - Applied Mathematical Modelling, 2017 - Elsevier
This paper proposes a new hybrid uncertain design optimization method for structures which
contain both random and interval variables simultaneously. The optimization model is …

[HTML][HTML] Evaluación y aplicación de la incertidumbre de medición en la determinación de las emisiones de fuentes fijas: una revisión

JJ Cárdenas-Monsalve, AF Ramírez-Barrera… - TecnoLógicas, 2018 - scielo.org.co
Este artículo presenta una revisión de metodologías comúnmente citadas en la literatura
para la estimación de la incertidumbre, como es la metodología no estocástica de la Guía …

[HTML][HTML] Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty

C Li, B Chen, H Peng, S Zhang - Applied Mathematical Modelling, 2017 - Elsevier
This paper proposes a new higher-efficiency interval method for the response bound
estimation of nonlinear dynamic systems, whose uncertain parameters are bounded. This …

Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models

G Shi, J Liu, H Wang, Y Tian, J Wen, X Shi, Y Feng… - Environmental …, 2018 - Elsevier
PM 2.5 is one of the most studied atmospheric pollutants due to its adverse impacts on
human health and welfare and the environment. An improved model (the chemical mass …

A feasible methodological framework for uncertainty analysis and diagnosis of atmospheric chemical transport models

Z Huang, J Zheng, J Ou, Z Zhong, Y Wu… - … science & technology, 2019 - ACS Publications
The current state of quantifying uncertainty in chemical transport models (CTM) is often
limited and insufficient due to numerous uncertainty sources and inefficient or inaccurate …