Fractional Order PID Control Law for Trajectory Tracking Using Fractional Order Time-Delay Recurrent Neural Networks for Fractional Order Complex Dynamical Systems
Document title: Fractional Order PID Control Law for Trajectory Tracking Using Fractional Order Time-Delay Recurrent Neural Networks for Fractional Order Complex Dynamical Systems
Journal: Computación y Sistemas
Database: PERIÓDICA
System number: 000457493
ISSN: 1405-5546
Authors: 1
1
2
1
Institutions: 1Universidad Autónoma de Nuevo León, Facultad de Ciencias Físico-Matemáticas, San Nicolás de los Garza, Nuevo León. México
2Universidad Autónoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica, San Nicolás de los Garza, Nuevo León. México
Year:
Season: Oct-Dic
Volumen: 23
Number: 4
Pages: 1583-1591
Country: México
Language: Inglés
Document type: Artículo
Approach: Aplicado, descriptivo
English abstract This paper presents an extension to the theory on the analysis of stability of complex systems with time delay of fractional order, the previous study is based on the theory of functions of Lyapunov-Krasovski and the Fractional Order PID control law. The analytical results are illustrated by the simulation of fractional nonlinear systems interconnected with time delay which are forced to follow complex trajectories as chaotic systems
Disciplines: Ciencias de la computación
Keyword: Inteligencia artificial,
Procesamiento de datos,
Programación,
Sistemas dinámicos fraccionales complejos,
Seguimiento de trayectoria,
Redes neuronales recurrentes,
Sistemas de orden fraccional
Keyword: Artificial intelligence,
Data processing,
Programming,
Fractional complex dynamical systems,
Trajectory tracking,
Recurrent neural networks,
Fractional order systems
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