A critical review of surrogate assisted robust design optimization
Robust design optimization (RDO) has been eminent, ascertaining optimal configuration of
engineering systems in presence of uncertainties. However, computational aspect of …
engineering systems in presence of uncertainties. However, computational aspect of …
Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits
Advances in manufacturing process technology are key ensembles for the production of
integrated circuits in the sub-micrometer region. It is of paramount importance to assess the …
integrated circuits in the sub-micrometer region. It is of paramount importance to assess the …
Enabling high-dimensional hierarchical uncertainty quantification by ANOVA and tensor-train decomposition
Hierarchical uncertainty quantification can reduce the computational cost of stochastic circuit
simulation by employing spectral methods at different levels. This paper presents an efficient …
simulation by employing spectral methods at different levels. This paper presents an efficient …
Stochastic oblique impact on composite laminates: a concise review and characterization of the essence of hybrid machine learning algorithms
Due to the absence of adequate control at different stages of complex manufacturing
process, material and geometric properties of composite structures are often uncertain. For a …
process, material and geometric properties of composite structures are often uncertain. For a …
Probabilistic load flow methodology for distribution networks including loads uncertainty
Distribution grids probabilistic analysis is an essential step in order to assess the daily
network operability under uncertain and stress conditions. It is also functional to the …
network operability under uncertain and stress conditions. It is also functional to the …
A versatile pulse control method to generate arbitrary multidirection multibutterfly chaotic attractors
In order to overcome the essential difficulties in conventional nonlinear control with
iteratively adjusting multiple parameters, a novel method for designing multidirection …
iteratively adjusting multiple parameters, a novel method for designing multidirection …
Joined probabilistic load flow and sensitivity analysis of distribution networks based on polynomial chaos method
Due to the statistical uncertainty of loads and power sources found in smart grids, effective
computational tools for probabilistic load flow analysis and planning are now becoming …
computational tools for probabilistic load flow analysis and planning are now becoming …
A comprehensive study on seismic dynamic responses of stochastic structures using sparse grid-based polynomial chaos expansion
The seismic response is a critical aspect of structural engineering, as it directly influences
the design and safety evaluation of such systems. Structural seismic response becomes …
the design and safety evaluation of such systems. Structural seismic response becomes …
Multidimensional uncertainty quantification of microwave/RF networks using linear regression and optimal design of experiments
In this paper, a nonintrusive polynomial chaos (PC) approach for the fast multidimensional
uncertainty quantification of microwave/RF networks is presented. The key feature of this …
uncertainty quantification of microwave/RF networks is presented. The key feature of this …
High-dimensional uncertainty quantification of electronic and photonic IC with non-Gaussian correlated process variations
Uncertainty quantification based on generalized polynomial chaos has been used in many
applications. It has also achieved great success in variation-aware design automation …
applications. It has also achieved great success in variation-aware design automation …