Coexisting Attractors with Nonlinear Offset-Boosting and Transient Chaos in a Memristive Complex-valued Network

Due to the widespread application of memristors, it is of great significance to conduct in-depth research on the nonlinear dynamics of complex networks based on memristors. This article constructs a memristor-based complex-valued network. Although the network structure is simple, abundant dynamical behaviors have also been observed, including phenomena such as hyper-chaos and quasi-period. In addition, there is a transient chaotic phenomenon in the network. Moreover, multiple coexisting attractors are obtained, which exhibit the trend of nonlinear migration.