Control de Sincronización Segura Basado en Datos Muestreados de Redes Neuronales Inerciales Difusas Acopladas

PubMed
Resumen

Este estudio presenta un controlador de seguridad de datos de muestreo difuso para abordar ataques de engaño en redes neuronales inerciales difusas (FINNs) acopladas y retardadas. El método garantiza la sincronización exponencial de estas redes a pesar de la interferencia adversaria.

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