@inproceedings{aa2fd10ed8ae42988c662d828de78445,
title = "Graph-based stochastic control with constraints: A unified approach with perfect and imperfect measurements",
abstract = "This paper is concerned with the problem of stochastic optimal control (possibly with imperfect measurements) in the presence of constraints. We propose a computationally tractable framework to address this problem. The method lends itself to sampling-based methods where we construct a graph in the state space of the problem, on which a Dynamic Programming (DP) is solved and a closed-loop feedback policy is computed. The constraints are seamlessly incorporated to the control policy selection by including their effect on the transition probabilities of the graph edges. We present a unified framework that is applicable both in the state space (with perfect measurements) and in the information space (with imperfect measurements.)",
author = "Agha-Mohammadi, {Ali Akbar} and Suman Chakravorty and Amato, {Nancy M.}",
year = "2013",
doi = "10.1109/acc.2013.6580545",
language = "English (US)",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4581--4586",
booktitle = "2013 American Control Conference, ACC 2013",
address = "United States",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}