Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay

Exponential lag synchronization for neural networks with mixed delays via periodically intermittent control

“…1͒ due to its potential applications in secure communications, nonlinear laser systems, image processing, and so on. 2,3 So far, a wide variety of synchronization phenomena have been discovered and studied such as complete synchronization [4][5][6][7][8][9] and lag synchronization.…”

“…Also, some lag synchronization criteria of neural networks and chaotic systems with time-varying delays have been also derived. [24][25][26] On the other hand, in order to synchronize two identical or different chaotic systems, lots of synchronization strategies have been developed in recent years including adaptive control, 2,9,11,18 impulsive control, 12,20,21 fuzzy control, 13 and periodically intermittent control. Intermittent control, which was first introduced to control nonlinear dynamical systems in Ref.…”

Global exponential synchronization between Lü system and Chen system with unknown parameters and channel time-delay

“…Step 2) When the identification in Step 1 is complete, the unknown parameter a can be identified by the observer (14) and the estimate ĉ in the observer (6).…”

Finite-Time Projective Synchronization of Caputo Type Fractional Complex-Valued Delayed Neural Networks

“…Compared with the above synchronization types, projective synchronization can achieve faster communication due to its proportional characteristics. Recently, in order to realize the synchronization of two chaotic systems, many synchronization strategies have been designed, including adaptive control [18,19], pulse control [20], intermittent control [21], and feedback control [22,23]. It shows that an appropriate controller can synchronize the response system with the drive system at an infinite level.…”