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Related Concept Videos

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
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First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
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Consensus of Linear MIMO Multiagent Systems: Appointed-Time Reduced-Order Observer-Based Protocols.

Tianqi Liu, Mengquan Liu, Guanghui Wen

    IEEE Transactions on Cybernetics
    |March 18, 2021
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    Summary
    This summary is machine-generated.

    This study introduces novel attack-free protocols for multiagent systems consensus, ensuring security without information transmission. The developed appointed-time observers effectively estimate consensus errors, enhancing system reliability.

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Cybersecurity

    Background:

    • Consensus in multiagent systems is crucial for coordinated behavior.
    • Existing protocols are vulnerable to cyberattacks, compromising system integrity.
    • Distributed adaptive protocols are needed for robust consensus.

    Purpose of the Study:

    • To design distributed adaptive attack-free protocols for linear multi-input multi-output (MIMO) multiagent systems.
    • To develop appointed-time reduced-order observers using only relative output information.
    • To ensure consensus under directed graphs without information transmission.

    Main Methods:

    • Proposed appointed-time reduced-order observers based on relative output information.
    • Introduced new unknown input observers utilizing relative output measurements.
    • Employed jump discontinuity and nilpotent matrix properties for appointed-time estimation.
    • Utilized linear transformation for observer order reduction.

    Main Results:

    • Achieved appointed-time estimation of consensus error.
    • Demonstrated attack-free protocol effectiveness without information transmission.
    • Successfully reduced observer order through linear transformation.
    • Validated protocol performance via theoretical analysis and simulations.

    Conclusions:

    • The proposed distributed adaptive attack-free protocols ensure secure consensus in MIMO multiagent systems.
    • Appointed-time reduced-order observers effectively handle unknown inputs and relative measurements.
    • The developed methods enhance the resilience of multiagent systems against attacks.