The mean-square consensus of stochastic multi-agent systems under denial-of-service and deception attacks via event-triggered impulsive control

The problem of event-triggered impulsive control (ETIC) for stochastic multi-agent systems (SMASs) under stochastic cyber attacks is investigated. In a stochastic cyber-attack model, it is suggested to combine denial-of-service (DoS) and deception attacks using two independent Bernoulli random sequences. The event triggering mechanism (ETM) in the ETIC system creates the impulsive control time sequences. It is suggested to use ETMs with waiting times to stop Zeno behavior. Based on the proposed ETMs, sufficient criteria are given for the mean square consensus of SMASs. Two simulation examples are provided to validate our ETIC scheme.

Automated summary

This paper investigates the problem of event-triggered impulsive control (ETIC) for stochastic multi-agent systems (SMASs) under stochastic cyber attacks. In a stochastic cyber-attack model, it is suggested to combine denial-of-service (DoS) and deception attacks using two independent Bernoulli random sequences. The event triggering mechanism (ETM) in the ETIC system creates the impulsive control time sequences, and it is suggested to use ETMs with waiting times to stop Zeno behavior. Based on the proposed ETMs, sufficient criteria are given for the mean square consensus of SMASs. Two simulation examples are provided to validate our ETIC scheme.