Adaptive NN Resilient Consensus Control of Nonlinear Heterogeneous Agents Under Switching Network With DoS Attacks

Adaptive NN Resilient Consensus Control of Nonlinear Heterogeneous Agents Under Switching Network With DoS Attacks

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This paper investigates the distributed resilient consensus control problem for a class non-linear heterogeneous duospiritalis.com 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 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 here convergence of the consensus errors can be guaranteed by the proposed topology average dwell time constraints.

A simulation example is provided to validate the effectiveness of the proposed resilient control algorithm.