Title :
Robust pinning control of complex dynamical networks using recurrent neural networks
Author :
Sanchez, Edgar N. ; Rodriguez, David I.
Author_Institution :
CINVESTAV, Unidad Guadalajara, Zapopan, Mexico
Abstract :
In this paper, using recurrent high order neural networks as an identification strategy for unknown pinned nodes dynamics, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed and a robust regulation behavior on such scenario is demonstrated.
Keywords :
complex networks; neurocontrollers; recurrent neural nets; robust control; complex dynamical network; complex network; identification strategy; recurrent high order neural network; recurrent neural network; robust pinning control; robust regulation behavior; unknown coupling strength; unknown pinned nodes dynamics; Biological neural networks; Complex networks; Couplings; Integrated circuit modeling; Recurrent neural networks; Symmetric matrices;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CICA.2014.7013236
