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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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    This study introduces a hybrid framework for nonlinear multiagent systems (MASs) to achieve time-varying formation tracking despite deception attacks. Event-triggered communication strategies ensure resilient performance without needing to detect attacks.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Robotics

    Background:

    • Nonlinear multiagent systems (MASs) face challenges in maintaining formation tracking under adversarial conditions.
    • Deception attacks, characterized by frequency, duration, and magnitude, pose significant threats to system stability and performance.
    • Existing methods often struggle with time-varying formations and require explicit attack detection.

    Purpose of the Study:

    • To develop a robust framework for time-varying formation tracking in nonlinear MASs under deception attacks.
    • To design distributed, edge-based, event-triggered communication strategies that are resilient to sophisticated attacks.
    • To ensure the system can achieve predefined formations and track leader states without explicit attack detection.

    Main Methods:

    • A hybrid framework incorporating explicit characterizations of deception attack properties.
    • Distributed, edge-based, event-triggered communication strategies with Zeno-freeness guarantees.
    • Design of control strategies resilient to deception attacks under specific assumptions.

    Main Results:

    • The proposed strategies enable resilient time-varying formation tracking in nonlinear MASs.
    • The system can achieve predefined formations and track the convex combination of leaders' states.
    • The control strategies do not require explicit detection of deception attacks.
    • Results are applicable to consensus, synchronization, and target enclosing problems in MASs.

    Conclusions:

    • The developed hybrid framework and event-triggered strategies effectively address time-varying formation tracking in nonlinear MASs under deception attacks.
    • The proposed approach offers resilience without the need for real-time attack detection, simplifying implementation.
    • The findings have broader implications for securing MASs in various applications, including unmanned aerial vehicles.