Anti-Synchronization in Fixed/Prescribed-Time for BAM Memristive Neural Networks with Time-Varying Delays

This paper is concerned with the fixed-time anti-synchronization (FTAS) and prescribed-time anti-synchronization (PTAS) for bidirectional associative memory memristive neural networks (BAMMNNs) with time-varying delays. By designing unified state-feedback controllers, in light of the Lyapunov function and some inequality techniques, several conditions for the FTAS are obtained for the drive-response systems. Besides, the conditions of PTAS are also explored by adjusting the controllers, and the corresponding settling time (ST) is estimated as well, which can be prescribed according to actual needs and is irrelevant with any initial value and any parameter. Finally, a numerical simulation is given to verify the correctness of the results.