Results 71 to 80 of about 1,013 (219)
Robust Trajectory Optimization Applying Chance Constraints and Generalized Polynomial Chaos [PDF]
, 2020 Patrick Piprek
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Engineering Reports, Volume 8, Issue 2, February 2026.This comprehensive study advances delamination analysis in composites through innovative computational methods, experimental validation techniques, and predictive algorithms, collectively enhancing damage progression prediction and structural health monitoring for improved integrity in high‐performance applications.
Dhivya Elumalai +4 more
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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
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Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling +2 more
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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
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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
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General decoupled method for statistical interconnect simulation via polynomial chaos
2014 IEEE 23rd Conference on Electrical Performance of Electronic Packaging and Systems, 2014 This paper proposes a technique that allows to decouple the polynomial chaos equations for statistical interconnect analysis. The methodology is based on a transformation that renders the voltage and current polynomial chaos coefficients decoupled. Hence, these new decoupled coefficients are computed via repeated non-intrusive simulations.
Manfredi, Paolo, CANAVERO, Flavio
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Development of
, 2018 Kyongmin Yeo +3 more
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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
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Efficient determination of critical parameters of nonlinear\n Schr\\"{o}dinger equation with point-like potential using generalized\n polynomial chaos methods [PDF]
, 2011 Debananda Chakraborty +2 more
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