| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000423341 |
| ISSN: | 1405-5546 |
| Authors: | Perez, José P1 Pérez P., Joel1 Flores H., Angel1 López de la Fuente, Martha S2 |
| Institutions: | 1Universidad Autónoma de Nuevo León, Facultad de Ciencias Físico-Matemáticas, Monterrey, Nuevo León. México 2Universidad de Monterrey, Monterrey, Nuevo León. México |
| Year: | 2017 |
| Season: | Jul-Sep |
| Volumen: | 21 |
| Number: | 3 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | In this paper the problem of trajectory tracking is studied. Based on the Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a recurrent neural network and a complex dynamical network is obtained. To illustrate the analytic results we present a tracking simulation of a dynamical network with each node being just one Lorenz´s dynamical system and three identical Chen’s dynamical systems |
| Disciplines: | Ciencias de la computación |
| Keyword: | Redes, Seguimiento de trayectoria, Redes neuronales recurrentes, Redes dinámicas, Análisis de Lyapunov |
| Keyword: | Networks, Trajectory tracking, Recurrent neural networks, Dynamic networks, Lyapunov analysis |
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