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Observer-Based Adaptive Synchronization of Multiagent Systems With Unknown Parameters Under Attacks.

Shiping Wen, Xiaoze Ni, Huamin Wang

    IEEE Transactions on Neural Networks and Learning Systems
    |January 29, 2021
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    Summary
    This summary is machine-generated.

    This study develops an observer-based adaptive control strategy for multiagent systems (MASs) to achieve synchronization despite unknown parameters and network attacks. The proposed security control law ensures system stability and synchronization under adversarial conditions.

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    Area of Science:

    • Control Theory
    • Systems Engineering
    • Cybersecurity

    Background:

    • Multiagent systems (MASs) are crucial for distributed tasks but vulnerable to unknown parameters and cyberattacks.
    • Achieving robust synchronization in MASs under these conditions is a significant challenge.

    Purpose of the Study:

    • To design an observer-based adaptive synchronization strategy for MASs with unknown parameters under external attacks.
    • To ensure reliable state estimation and synchronization even when system parameters are unknown and the network topology is compromised.

    Main Methods:

    • Development of an observer for state estimation in MASs.
    • Introduction of a nominal controller for synchronization under ideal conditions.
    • Design of an adaptive controller with a switching term to handle unknown parameters and uncertainties.
    • Formulation of a security control law based on Lyapunov function analysis to counteract attack effects.

    Main Results:

    • The nominal controller achieves synchronization and state estimation when system uncertainties are absent.
    • The adaptive controller effectively compensates for unknown parameters in disturbances, nonlinear functions, and model uncertainties.
    • The security control law guarantees MAS synchronization by analyzing attack impacts using a Lyapunov function.

    Conclusions:

    • The proposed observer-based adaptive synchronization strategy is effective for MASs with unknown parameters under attacks.
    • The developed security control law ensures the resilience and synchronization of MASs in the presence of cyber threats.
    • Numerical simulations validate the theoretical findings and the effectiveness of the proposed control approach.