Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Max-Consensus and Size Estimation of Anonymous Multi-Agent
  Networks   In this paper we propose a novel consensus protocol for discrete-time
multi-agent systems (MAS), which solves the dynamic consensus problem on the
max value, i.e., the dynamic max-consensus problem. In the dynamic
max-consensus problem to each agent is fed a an exogenous reference signal, the
objective of each agent is to estimate the instantaneous and time-varying value
of the maximum among the signals fed to the network, by exploiting only local
and anonymous interactions among the agents. The absolute and relative tracking
error of the proposed distributed control protocol is theoretically
characterized and is shown to be bounded and by tuning its parameters it is
possible to trade-off convergence time for steady-state error. The dynamic
Max-consensus algorithm is then applied to solve the distributed size
estimation problem in a dynamic setting where the size of the network is
time-varying during the execution of the estimation algorithm. Numerical
simulations are provided to corroborate the theoretical analysis.

29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con