Passivity-based synchronization via sampled-data control scheme

摘要

This work presents the passive synchronization control problem for time-varying delayed chaotic neural networks. With the help of a novel integral inequality, a time-dependent Lyapunov functional is applied to optimize the factual sampling pattern. A reciprocally convex approach is also applied to present delay dependent results. Finally, we present an demonstrated example to show the usability of the method.