activity
20132022
most citedEfficient grid-based Bayesian estimation of nonlinear low-dimensional systems with sparse non-Gaussian PDFs

8 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2022★ 3 cited

BTO-RRT: A rapid, optimal, smooth and point cloud-based path planning algorithm

Zhaoliang Zheng, Thomas R. Bewley, Falko Kuester +1

This paper explores a rapid, optimal smooth path-planning algorithm for robots (e.g., autonomous vehicles) in point cloud environments. Derivative maps such as dense point clouds,…

math.NA2021

Tweed and wireframe: accelerated relaxation algorithms for multigrid solution of elliptic PDEs on stretched structured grids

Thomas Bewley, Ali Mashayek, Daniele Cavaglieri +1

Two new relaxation schemes are proposed for the smoothing step in the geometric multigrid solution of PDEs on 2D and 3D stretched structured grids. The new schemes are characterize…

math.OC2019

A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging

Pooriya Beyhaghi, Ryan Alimo, Thomas Bewley

This paper considers the efficient minimization of the infinite time average of a stationary ergodic process in the space of a handful of design parameters which affect it. Problem…

math.ST2018★ 5 cited

Uncertainty Quantification of the time averaging of a Statistics Computed from Numerical Simulation of Turbulent Flow

Pooriya Beyhaghi, Shahrouz Alimohammadi, Thomas Bewley

Rigorous assessment of the uncertainty is crucial to the utility of numerical simulation of Turbulent flow. The Turbulent flows are often stationary and ergodic, after some initial…

eess.SY2017

A probabilistic framework for the control of systems with discrete states and stochastic excitation

Gianluca Meneghello, Paolo Luchini, Thomas Bewley

A probabilistic framework is proposed for the optimization of efficient switched control strategies for physical systems dominated by stochastic excitation. In this framework, the…

math.OC2013★ 8 cited

Efficient grid-based Bayesian estimation of nonlinear low-dimensional systems with sparse non-Gaussian PDFs

T R Bewley, A S Sharma

Bayesian estimation strategies represent the most fundamental formulation of the state estimation problem available, and apply readily to nonlinear systems with non-Gaussian uncert…