Synchronization of delayed Markovian jump memristive neural networks with reaction-diffusion terms via sampled data control

This paper is concerned with the sampled-data synchronization issues for delayed memristive neural networks with Markovian jumping and reaction-diffusion terms. In the frame work of inequality techniques and a useful Lyapunov functional, some new testable algebraic criteria are obtained to ensure the stability of the error system, and thus, the master system can synchronize with the slave system. Finally, an illustrative example is exploited to demonstrate the performance and effectiveness of the developed approach.