4 citations · 6 across the 4 of their papers we have counts for
4 papers
A general and scalable matheuristic for fleet design
Francesco Bertoli, Philip Kilby, Tommaso Urli
We look at the problem of choosing a fleet of vehicles to carry out delivery tasks across a very long time horizon -- up to one year. The delivery quantities may vary markedly day…
Nonlinear stochastic receding horizon control: stability, robustness and Monte Carlo methods for control approximation
Francesco Bertoli, Adrian N. Bishop
This work considers the stability of nonlinear stochastic receding horizon control when the optimal controller is only computed approximately. A number of general classes of contro…
Reducing the Bias in Blocked Particle Filtering for High-Dimensional Systems
Francesco Bertoli, Adrian N. Bishop
Particle filtering is a powerful approximation method that applies to state estimation in nonlinear and non-Gaussian dynamical state-space models. Unfortunately, the approximation…
Adaptively Blocked Particle Filtering with Spatial Smoothing in Large-Scale Dynamic Random Fields
Francesco Bertoli, Adrian N. Bishop
The typical particle filtering approximation error is exponentially dependent on the dimension of the model. Therefore, to control this error, an enormous number of particles are r…