Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Control Design for Markov Chains under Safety Constraints: A Convex
  Approach   This paper focuses on the design of time-invariant memoryless control
policies for fully observed controlled Markov chains, with a finite state
space. Safety constraints are imposed through a pre-selected set of forbidden
states. A state is qualified as safe if it is not a forbidden state and the
probability of it transitioning to a forbidden state is zero. The main
objective is to obtain control policies whose closed loop generates the maximal
set of safe recurrent states, which may include multiple recurrent classes. A
design method is proposed that relies on a finitely parametrized convex program
inspired on entropy maximization principles. A numerical example is provided
and the adoption of additional constraints is discussed.

35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat