Zobrazeno 1 - 10
of 872
pro vyhledávání: '"Vladimirsky, A"'
Autor:
Gee, Marissa, Vladimirsky, Alexander
Piecewise-deterministic Markov processes (PDMPs) are often used to model abrupt changes in the global environment or capabilities of a controlled system. This is typically done by considering a set of "operating modes" (each with its own system dynam
Externí odkaz:
http://arxiv.org/abs/2408.01335
When traveling through a graph with an accessible deterministic path to a target, is it ever preferable to resort to stochastic node-to-node transitions instead? And if so, what are the conditions guaranteeing that such a stochastic optimal routing p
Externí odkaz:
http://arxiv.org/abs/2310.14121
Sailboat path-planning is a natural hybrid control problem (due to continuous steering and occasional "tack-switching" maneuvers), with the actual path-to-target greatly affected by stochastically evolving wind conditions. Previous studies have focus
Externí odkaz:
http://arxiv.org/abs/2309.13436
We study driver's optimal trajectory planning under uncertainty in the duration of a traffic light's green phase. We interpret this as an optimal control problem with an objective of minimizing the expected cost based on the fuel use, discomfort from
Externí odkaz:
http://arxiv.org/abs/2201.04521
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012165 (2024)
Although adaptive cancer therapy shows promise in integrating evolutionary dynamics into treatment scheduling, the stochastic nature of cancer evolution has seldom been taken into account. Various sources of random perturbations can impact the evolut
Externí odkaz:
https://doaj.org/article/f3365eb8ae534a3f93a56a9f92a2794d
We consider a task of surveillance-evading path-planning in a continuous setting. An Evader strives to escape from a 2D domain while minimizing the risk of detection (and immediate capture). The probability of detection is path-dependent and determin
Externí odkaz:
http://arxiv.org/abs/2109.14811
Autor:
Miles, Cole, Vladimirsky, Alexander
In match race sailing, competitors must steer their boats upwind in the presence of unpredictably evolving weather. Combined with the tacking motion necessary to make upwind progress, this makes it natural to model their path-planning as a hybrid sto
Externí odkaz:
http://arxiv.org/abs/2109.08260
Autor:
Gee, Marissa, Vladimirsky, Alexander
We propose a model for path-planning based on a single performance metric that accurately accounts for the the potential (spatially inhomogeneous) cost of breakdowns and repairs. These random breakdowns (or system faults) happen at a known, spatially
Externí odkaz:
http://arxiv.org/abs/2109.06910
Classical deterministic optimal control problems assume full information about the controlled process. The theory of control for general partially-observable processes is powerful, but the methods are computationally expensive and typically address t
Externí odkaz:
http://arxiv.org/abs/2106.11405
In piecewise-deterministic Markov processes (PDMPs) the state of a finite-dimensional system evolves continuously, but the evolutive equation may change randomly as a result of discrete switches. A running cost is integrated along the corresponding p
Externí odkaz:
http://arxiv.org/abs/2008.00555