  This paper investigates the distributed event-triggered control problem for a
class of uncertain pure-feedback nonlinear multi-agent systems (MASs) with
polluted feedback. Under the setting of event-triggered control, substantial
challenges exist in both control design and stability analysis for systems in
more general non-affine pure-feedback forms wherein all state variables are not
directly and continuously available or even polluted due to sensor failures,
and thus far very limited results are available in literature. In this work, a
nominal control strategy under regular state feedback is firstly developed by
combining neural network (NN) approximating with dynamic filtering technique,
and then a NN-based distributed event-triggered control strategy is proposed by
resorting to a novel replacement policy, making the non-differentiability issue
arising from event-triggering setting completely circumvented. Besides, the
sensor ineffectiveness is accommodated automatically without using fault
detection and diagnosis unit or controller reconfiguration. It is shown that
all the internal signals are semi-globally uniformly ultimately bounded (SGUUB)
with the aid of several vital lemmas, while the outputs of all the subsystems
reaching a consensus without infinitely fast execution. Finally, the efficiency
of the developed algorithm are verified via numerical simulation.
