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    Este estudio aborda el consenso de seguimiento de líderes en sistemas multiagente estocásticos no lineales (MAS) que enfrentan ataques furtivos de engaño de actuadores. Un nuevo algoritmo de control asegura un consenso limitado a pesar de los ataques y las perturbaciones.

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    Área de la Ciencia:

    • Teoría de control
    • Ingeniería de sistemas
    • La robótica

    Sus antecedentes:

    • Investiga el consenso de estado completo distribuido de seguimiento de líderes en sistemas estocásticos multi-agente no lineales (MAS).
    • Se centra en los desafíos planteados por los ataques de engaño del actuador en topologías de red dirigidas fijas.
    • Aborda las limitaciones de los modelos de ataque existentes mediante la introducción de un nuevo modelo de ataque de engaño del actuador más sigiloso.

    Objetivo del estudio:

    • Desarrollar un nuevo algoritmo de control de consenso de retroalimentación de salida distribuida para MAS bajo ataques de engaño de actuador.
    • Para superar el impacto de los sofisticados y furtivos ataques de engaño del actuador y las perturbaciones estocásticas inherentes.
    • Asegurar el consenso limitado de estado completo en probabilidad para todos los agentes en el sistema.

    Principales métodos:

    • Se introdujo un nuevo modelo de ataque de engaño del actuador utilizando un sistema de dinámica inversa estocástica.
    • Diseñado un controlador lineal distribuido con un compensador para cada seguidor basado en salidas relevantes.
    • Construyó una nueva función de Lyapunov y empleó el enfoque de la función de suministro de intercambio para una prueba rigurosa.

    Principales resultados:

    • Desarrolló un nuevo algoritmo de control de consenso de retroalimentación de salida distribuida efectivo contra los ataques furtivos de engaño de los actuadores.
    • Se establecieron condiciones suficientes para la eficacia del responsable del tratamiento.
    • Demostró que todos los agentes logran un consenso limitado en la probabilidad de seguir al líder.

    Conclusiones:

    • La estrategia de control propuesta mitiga efectivamente el impacto de los ataques furtivos de engaño del actuador en el MAS estocástico no lineal.
    • La metodología garantiza un consenso sólido de seguimiento de líderes en todo el estado en condiciones difíciles.
    • Los resultados de la simulación validan la eficacia del método de control desarrollado.