Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Clustering Approach Based on Group Quasi-Consensus of Unstable
  Dynamic Linear High-Order Multi-Agent Systems   This paper introduces a novel approach of clustering, which is based on group
consensus of dynamic linear high-order multi-agent systems. The graph topology
is associated with a selected multi-agent system, with each agent corresponding
to one vertex. In order to reveal the cluster structure, the agents belonging
to a similar cluster are expected to aggregate together. As theoretical
foundation, a necessary and sufficient condition is given to check the group
consensus. Two numerical instances are shown to illustrate the process of
approach.

22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
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The categories of this paper are: stat
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom