Neural-Impulsive Pinning Control for Complex Networks Based on V-Stability

Mathematics

Daniel Ríos-Rivera¹  AlmaY. Alanis¹  EdgarN. Sanchez² 

[1] Computer Sciences Department, Universidad de Guadalajara, Guadalajara 44430, Mexico;Electrical Engineering Department, CINVESTAV, Unidad Guadalajara, Zapopan 45017, Mexico;

关键词: complex networks;    V-stability;    pinning control;    impulsive control;    neural control;    chaos control;   

DOI  :  10.3390/math8091388

来源: DOAJ

【 摘 要 】

In this work, a neural impulsive pinning controller for a twenty-node dynamical discrete complex network is presented. The node dynamics of the network are all different types of discrete versions of chaotic attractors of three dimensions. Using the V-stability method, we propose a criterion for selecting nodes to design pinning control, in which only a small fraction of the nodes is locally controlled in order to stabilize the network states at zero. A discrete recurrent high order neural network (RHONN) trained with extended Kalman filter (EKF) is used to identify the dynamics of controlled nodes and synthesize the control law.

【 授权许可】

Unknown