Finite-time projective synchronization of inertial complex-valued memristive neural networks

This paper aims to address the problem of finite-time projective synchronization in inertial complex-valued memristor neural networks (ICVMNNs). To handle complex-valued systems more efficiently, symbolic functions are introduced to reduce computational complexity. In dealing with the inertial term, we first convert the second-order differential equation into a first-order one. Next, we design a discontinuous complex-valued controller to achieve projective synchronization in the system. Finally, the theoretical analysis is validated through a numerical simulation, demonstrating the accuracy of our approach.