Mean-square Delayed Consensus of NMASs subjected to DoS Attacks under
Markov Switching Topologies and Dynamic Event-triggered Control
Abstract
The issue of mean-square delayed consensus of nonlinear multi-agent
systems (NMASs) suffered from denial-of-service (DoS) attacks under
Markov switching topologies and dynamic event-triggered control (DETC)
is studied. Firstly, the networks among agents are inevitably attacked
because the communication networks are open access. DoS attacks that are
destructive, stealthy and easy to realize are considered. Secondly, DoS
attacks can result in random changes of the communication topologies,
which are assumed to be uncertain nonhomogeneous Markov switching (UNMS)
topologies with partially unknown transition rates (TRs). Then, in order
to reduce unnecessary signal transmission, the adaptive control law and
DETC are adopted. The sufficient conditions of mean-square delayed
consensus of NMASs in term of random analysis method and distributed
control theory are explored. Finally, the exactness of the results and
the effectiveness of the methods are validated by the example given.