Neural-networks-based event-triggered consensus tracking control for nonlinear MASs with DoS attacks

In this paper we explore the observer-based event-triggered tracking control problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks. To overcome the difficulty introduced by the nonlinear term, an observer based on neural networks (NNs-observer) is introduced to estimate unavailable system states. Besides, this paper designs a new secure distributed controller which can achieve the tracking control objective while maintaining the tolerance to DoS attacks. Furthermore, in order to save network resources, a new event-triggered mechanism is introduced which is mathematically proved to be free of the Zeno phenomenon. Finally, an example is provided to support the effectiveness of the proposed NNs-observer-based event-triggered resilient tracking control scheme.