Adaptive Control And Synchronization Of Uncertain Complex Networks

Recently, the study of complex networks has been a focus subject of technology fields. In particular, synchronization of complex networks has attracted the most attention. In this paper, we consider the adaptive control and synchronization of uncertain complex networks. By using the adaptive control techniques with the linear feedback updated law and the well-known LaSalle invariant principle on dynamical system theory, some simple yet generic criteria are derived. Furthermore, the result is applied to typical chaotic cellular neural networks(CNN). Finally, numerical simulation are presented to demostrate the feasibility and effectiveness of the proposed techniques.