This paper investigates the distributed resilient consensus control problem for a class non-linear heterogeneous multiagent systems under unreliable communication environment, which includes time-varying interaction network and intermittent denial of service (DoS) attacks.In order to handle heterogeneous nonlinear unknown dynamics in each agent subsystem, a stuart products emcelle tocopherol novel distributed adaptive neural networks (NNs) control approach is developed exploiting the neighborhood information.By introducing the topology-dependent Lyapunov function and adaptive switching control mechanism, we show that the uniformly bound convergence of the consensus errors can be guaranteed by the proposed topology average dwell time constraints.A simulation example is provided to here validate the effectiveness of the proposed resilient control algorithm.