Synchronization of chaotic multi-agent systems with stochastic and impulsive disturbances

The cooperative exponential synchronization of chaotic multi-agent neural networks with stochastic and impulsive disturbances is investigated in this paper. Sufficient conditions for exponential synchronization to a leader are established and linked directly with graph topology, the control coupling gains, and the individual agent system parameters. Some relations between the synchronization performance and the system parameters are discussed, and it is shown that synchronization can be realized if the control parameters are suitably selected. Simulation results verify the effectiveness of the proposed synchronization protocol.