Complex dynamical network control for trajectory tracking using delayed recurrent neural networks

In this paper, the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dynamical network is obtained. To illustrate the anal...

Descripción completa

Detalles Bibliográficos
Autores principales: Pérez Padrón, José Paz, Pérez Padrón, Joel, Flores Hernández, Ángel, Arroyo Garza, Santiago
Formato: Artículo
Lenguaje:English
Publicado: 2014
Acceso en línea:http://eprints.uanl.mx/15144/1/255.pdf