Finite-time mixed outer synchronization of complex networks with time-varying delay and unknown parameters

In this paper, the finite-time mixed outer synchronization (FMOS) of chaotic neural networks with time-varying delay and unknown parameters is investigated. By adjusting control strengths with the updated laws, we achieve the finite-time mixed outer synchronization between two complex networks based on the finite-time stability theory and linear matrix inequality. Furthermore, the unknown parameters estimation of the networks is identified in a finite time. Finally, numerical simulations are given to demonstrate the effectiveness of the analytical results obtained here.