Title
Fast and Asymptotic Steering to a Steady State for Networks Flows
Abstract
We study the problem of optimally steering a network flow to a desired steady state, such as the Boltzmann distribution with a lower temperature, both in finite time and asymptotically. In the infinite horizon case, the problem is formulated as constrained minimization of the relative entropy rate. In such a case, we find that, if the prior is reversible, so is the solution.
Year
DOI
Venue
2021
10.1007/978-3-030-80209-7_92
GEOMETRIC SCIENCE OF INFORMATION (GSI 2021)
Keywords
DocType
Volume
Markov Decision Process, Schrodinger Bridge, Reversibility, Relative entropy rate, Regularized optimal mass transport
Conference
12829
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yongxin Chen19931.89
Yongxin Chen29931.89
Tryphon T. Georgiou321136.71