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Effects of impulse on prescribed-time synchronization of switching complex networks

  • 0College of Physical Science and Technology, Central China Normal University, Wuhan, 430079, China.
Neural Networks : the Official Journal of the International Neural Network Society +

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March 22, 2024

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March 22, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study presents a new prescribed-time controller for neural networks, enhancing synchronization in complex systems. The controller reduces chattering and allows flexible adjustment of synchronization time for various applications.

Area Of Science

  • Control Theory
  • Neural Networks
  • Complex Systems

Background

  • Prescribed-time synchronization (PTs) is crucial for high-demand applications like robotics and secure communications.
  • Existing methods often suffer from chattering and lack flexibility in synchronization timing.

Purpose Of The Study

  • To develop a novel prescribed-time controller for neural networks.
  • To achieve stable system performance and synchronization at a user-defined time.
  • To mitigate the chattering phenomenon in neural network systems.

Main Methods

  • Introduced a prescribed-time controller excluding fractional power and sign functions.
  • Utilized synchronizing/desynchronizing impulse sequences for switching complex networks (SCN).
  • Constrained switching and impulse occurrences using average dwell time.

Main Results

  • Achieved synchronization at a user-specified time, reducing chattering.
  • Successfully implemented PTs in SCN with impulse effects.
  • Demonstrated flexible adjustment of synchronization time within allowable ranges.

Conclusions

  • The proposed controller effectively achieves prescribed-time synchronization with improved stability.
  • The method offers a flexible and robust solution for various high-demand applications.
  • Reduced chattering and adjustable synchronization time enhance practical applicability.

Keywords:

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