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Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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Mixed Event-Triggered Output Regulation for Networked Switched Systems With Unstable Switching Dynamics Under

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    This study addresses the event-triggered output regulation problem in networked switched systems facing denial-of-service attacks. It introduces novel mechanisms to ensure system stability and performance despite unstable switching dynamics and long-duration attacks.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems Security
    • Cyber-Physical Systems

    Background:

    • Networked switched systems (NSSs) face challenges with unstable switching dynamics (USDs), where subsystems may destabilize during switching.
    • Denial-of-service (DoS) attacks, particularly long-duration DoS attacks (LDDAs), can disrupt controller switching and exacerbate system instability.
    • Existing methods struggle to guarantee output regulation under combined USDs and LDDAs.

    Purpose of the Study:

    • To investigate the event-triggered output regulation problem (EORP) for NSSs under DoS attacks and USDs.
    • To develop robust control strategies that accommodate asynchronous subsystem and controller switching caused by LDDAs.
    • To enhance system performance and reduce network load in the presence of destabilizing switching and network uncertainties.

    Main Methods:

    • Introducing constraints at switching instants to allow asynchronous subsystem switching under LDDAs and USDs.
    • Designing mixed event-triggered mechanisms (ETMs) combining event-triggered and periodic sampling conditions.
    • Developing an improved dwell-time (DT) strategy for flexible switching signal arrangements.
    • Deriving sufficient conditions for the solvability of EORP considering network-induced delays, packet losses, and disorders.

    Main Results:

    • Consecutive asynchronous subsystem switching is permitted, even when controller switching is blocked by LDDAs.
    • Mixed ETMs effectively reduce network burden and improve performance under LDDAs and destabilizing switching.
    • The proposed improved DT is suitable for systems with irregular switching patterns.
    • Sufficient conditions guarantee the solvability of EORP for NSSs with USDs under various network imperfections.

    Conclusions:

    • The proposed approach effectively solves the EORP for NSSs with USDs under LDDAs and other network uncertainties.
    • The developed methods ensure system stability and performance, validated by a switched RLC circuit example.
    • This research offers a robust solution for secure and reliable control of networked systems facing cyber-attacks and inherent instabilities.