Pinning-controlled synchronization of partially coupled dynamical networks via impulsive control

<abstract><p>In this paper, global exponential outer synchronization of coupled nonlinear systems with general coupling matrices are investigated via pinning impulsive control. More realistic and more general partially coupled drive-response systems are established, where the completely communication channel matrix between coupled nodes may not be a permutation matrix. By using pinning impulsive strategy involving pinning ratio and our generalised lower average impulsive interval method, a number of novel and less restrictive synchronization criteria are proposed. In the end, a numerical example is constructed to indicate the effectiveness of our theoretical results.</p></abstract>

Outer Synchronization of Complex-Variable Networks with Complex Coupling via Impulsive Pinning Control

In this paper, outer synchronization of complex-variable networks with complex coupling is considered. Sufficient conditions for achieving outer synchronization using static impulsive pinning controllers are first derived according to the Lyapunov function method and stability theory of impulsive differential equations. From these conditions, the necessary impulsive gains and intervals for given networks can be easily calculated. Further, an adaptive strategy is introduced to design universal controllers and avoid repeated calculations for different networks. Notably, the estimation algorithms of the impulsive gains and intervals are provided. Finally, three numerical examples are performed to verify the effectiveness of the main results.

Synchronization control between discrete uncertain networks with different topologies

Based on open-loop–closed-loop technology, we researched the outer synchronization between discrete uncertain networks with different topologies. In order to make the drive and response networks realize the synchronization, a special Lyapunov function is constructed and the open-loop–closed-loop controller is designed. At the same time, we designed an effective parameter identification law to accurately identify the uncertain parameters in the response network. The simulation results show that the synchronization strategy is simple and practical.