61 citations · 285 across the 30 of their papers we have counts for
4 papers · 1 filter
Gaussian process surrogates for failure detection: a Bayesian experimental design approach
Hongqiao Wang, Guang Lin, Jinglai Li
An important task of uncertainty quantification is to identify {the probability of} undesired events, in particular, system failures, caused by various sources of uncertainties. In…
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation
Georgios Karagiannis, Bledar A. Konomi, Guang Lin +1
We present the parallel and interacting stochastic approximation annealing (PISAA) algorithm, a stochastic simulation procedure for global optimisation, that extends and improves t…
Enhancing Sparsity of Hermite Polynomial Expansions by Iterative Rotations
Xiu Yang, Huan Lei, Nathan A. Baker +1
Compressive sensing has become a powerful addition to uncertainty quantification in recent years. This paper identifies new bases for random variables through linear mappings such…
Comparative Study of Clustering Techniques for Real-Time Dynamic Model Reduction
Emilie Purvine, Eduardo Cotilla-Sanchez, Mahantesh Halappanavar +4
Dynamic model reduction in power systems is necessary for improving computational efficiency. Traditional model reduction using linearized models or online analysis is not adequate…