Finite-time synchronization of memristive neural networks via quantized intermittent control

Abstract

This paper focuses on finite-time synchronization (FTS) based on quantized intermittent control of memristive neural networks (MNN). The synchronization of the system constructed under the concept of Filippov solution is achieved by the design of a new quantized intermittent controller (QIC). The corresponding conditions for achieving system synchronization are established based on FTS theory and intermittent strategies. Finally, a numerical simulation is given to verify the correctness of the theory.