| Revista: | Revista mexicana de física |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000365803 |
| ISSN: | 0035-001X |
| Autors: | Pérez, Joel1 Pérez, José Paz1 Rodríguez, Francisco1 Flores, A1 |
| Institucions: | 1Universidad Autónoma de Nuevo León, Facultad de Ciencias Físico Matemáticas, Monterrey, Nuevo León. México |
| Any: | 2013 |
| Període: | Sep-Oct |
| Volum: | 59 |
| Número: | 5 |
| Paginació: | 471-477 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, teórico |
| Resumen en inglés | This paper presents the application of trajectory tracking using adaptive neural networks to the double chaotic pendulum. The controller structure proposed is composed by a neural identifier and a PI Control Law. Experimental results with the chaotic pendulum showed the usefulness of the proposed approach. To verify the analytical results, an example of a dynamical network is simulated and a theorem is proposed to ensure the tracking of the nonlinear system |
| Disciplines | Física y astronomía |
| Paraules clau: | Física, Redes neuronales, Seguimiento de trayectoria, Control adaptativo, Función de Lyapunov, Control Pi |
| Keyword: | Physics and astronomy, Physics, Neural networks, Trajectory tracking, Adaptive control, Lyapunov function, Pi control |
| Text complet: | Texto completo (Ver PDF) |
