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Updated: Sep 9, 2025

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Control de consenso óptimo adaptativo para sistemas multiagente inciertos no lineales bajo ataques de DoS

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    Resumen
    Este resumen es generado por máquina.

    Este estudio introduce un nuevo esquema de observación y control adaptativo para los sistemas multiagente no lineales (MAS) que se enfrentan a la incertidumbre del líder y a los ataques de denegación de servicio (DoS), asegurando un seguimiento de consenso estable.

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    Área de la Ciencia:

    • Ingeniería de sistemas de control
    • Inteligencia artificial
    • Seguridad de la red

    Sus antecedentes:

    • Los sistemas multiagente no lineales (MAS) se enfrentan a desafíos con la incertidumbre del líder y los ataques intermitentes de denegación de servicio (DoS).
    • Es difícil estimar la dinámica del líder debido a las no linealidades desconocidas y la comunicación interrumpida.

    Objetivo del estudio:

    • Desarrollar una estrategia de control robusta para el consenso de líderes y seguidores en MAS inciertos bajo ataques de DoS.
    • Superar las limitaciones de las redes de identificadores tradicionales en entornos MAS complejos.

    Principales métodos:

    • Un observador distribuido adaptativo basado en el aprendizaje fue diseñado para estimar la dinámica desconocida del líder.
    • Se propuso un esquema óptimo de seguimiento de consenso de un solo crítico, eliminando la necesidad de una red de identificadores.

    Principales resultados:

    • El observador propuesto estima efectivamente la dinámica del líder a pesar de los ataques intermitentes de DoS y las incertidumbres del sistema.
    • El esquema de control garantiza un límite final uniforme (UUB) para todas las señales del sistema.
    • Se logró un seguimiento de consenso exitoso en MAS inciertos.

    Conclusiones:

    • El método desarrollado proporciona una solución robusta para un control óptimo en los MAS en condiciones adversas.
    • Este enfoque mejora la fiabilidad y el rendimiento de los sistemas distribuidos que se enfrentan a ciberataques e incertidumbres.