Projective synchronization of time-varying delayed neural network with adaptive scaling factors

• Projective synchronization in coupled delayed neural chaotic systems with modulated delay time is introduced.
• An adaptive rule for the scaling factors is introduced.
• This scheme is highly applicable in secure communication.

In this work, the projective synchronization between two continuous time delayed neural systems with time varying delay is investigated. A sufficient condition for synchronization for the coupled systems with modulated delay is presented analytically with the help of the Krasovskii–Lyapunov approach. The effect of adaptive scaling factors on synchronization are also studied in details. Numerical simulations verify the effectiveness of the analytic results.