  The paper proposes an intermittent communication mechanism for the tracking
consensus of high-order nonlinear multi-agent systems (MASs) surrounded by
random disturbances. Each collaborating agent is described by a class of
high-order nonlinear uncertain strict-feedback dynamics which is disturbed by a
wide stationary process representing the external noise. The resiliency level
of this networked control system (NCS) to the failures of physical devices or
unreliability of communication channels is analyzed by introducing a linear
auxiliary trajectory of the system. More precisely, the unreliability of
communication channels sometimes makes an agent incapable of sensing the local
information or receiving it from neighboring nodes. Therefore, an intermittent
communication scheme is proposed among the follower agents as a consequence of
employing the linear auxiliary dynamics. The closed-loop networked system
signals are proved to be noise-to-state practically stable in probability
(NSpS-P). It has been justified that each agent follows the trajectory of the
corresponding local auxiliary virtual system practically in probability. The
simulation experiments finally quantify the effectiveness of our proposed
approach in terms of providing a resilient performance against unreliability of
communication channels and reaching the tracking consensus.
