arXiv · 1908.01162
Sequential tracking of an unobservable two-state Markov process under Brownian noise
Abstract
We consider an optimal control problem, where a Brownian motion with drift is sequentially observed, and the sign of the drift coefficient changes at jump times of a symmetric two-state Markov process. The Markov process itself is not observable, and the problem consist in finding a {-1,1}-valued process that tracks the unobservable process as close as possible. We present an explicit construction of such a process.
Explore related subjects
Keep this discovery
Alexey Muravlev, Mikhail Urusov, Mikhail Zhitlukhin. 2019-08-03. Sequential tracking of an unobservable two-state Markov process under Brownian noise. https://arxiv.org/abs/1908.01162
Cite the original work for its findings. Save a collection to share your selection of sources.