Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Identifiability in Dynamic Acyclic Networks with Partial Excitations and
  Measurements   This paper deals with dynamic networks in which the causality relations
between the vertex signals are represented by linear time-invariant transfer
functions (modules). Considering an acyclic network where only a subset of its
vertices are measured and a subset of the vertices are excited, we explore
conditions under which all the modules are identifiable on the basis of
measurement data. Two sufficient conditions are presented in the paper, where
the former one can be applied to perform an identifiability analysis for a full
network, while the latter one, based on the concept of \textit{tree/anti-tree
covering}, induces a synthesis approach to allocate actuators and sensors in an
acyclic network.

5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
18
The categories of this paper are: econ