Neural network control of fractional-order chaotic systems with unknown control direction.
Heliyon
; 10(5): e26870, 2024 Mar 15.
Article
en En
| MEDLINE
| ID: mdl-38444461
ABSTRACT
In this paper, neural network control of fractional order chaotic systems (FOCSs) with input saturation and unknown sign of the controller gain is addressed by employing the Nussbaum function, where neural networks are utilized to model system uncertainties. To get rid of the limitation that reaching phase should be active before sliding motion in the traditional sliding mode control, a stable sliding surface is constructed. Then, by using the integer order Nussbaum gain control method, a novel controller with neural network sliding mode variable structure is designed. Finally, the practicality of the designed method is confirmed by a simulation experiment.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Heliyon
Año:
2024
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
Reino Unido