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Exploring the Sequential Cellular Events of Phagocytosis Triggered by Godanti Bhasma in Mammalian Cells
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A novel event-triggered communication strategy for second-order multiagent systems.

Tao Li1, Hui Zhao2, Yu Chang3

  • 1School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, PR China.

ISA Transactions
|September 4, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an event-triggered communication strategy for multi-agent systems, reducing reliance on centralized information. The new approach ensures leader-following consensus even with switching network topologies.

Keywords:
Event-triggerLeader-following consensusMulti-agent systemsNonlinear dynamics

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Area of Science:

  • Control Systems Engineering
  • Networked Systems

Background:

  • Existing multi-agent systems often rely on centralized information, limiting practical applications.
  • Laplacian matrices are commonly used but impose conservative constraints.

Purpose of the Study:

  • To design an event-triggered communication strategy for second-order multi-agent systems.
  • To overcome the limitations of centralized information requirements in consensus protocols.

Main Methods:

  • Proposing an event-triggered sampling mechanism with updated thresholds for inter-agent communication.
  • Developing consensus protocols with adaptive coupling control gains.
  • Analyzing systems with fixed and switching topologies.

Main Results:

  • Guaranteed leader-following consensus for second-order multi-agent systems.
  • The method is effective for arbitrarily connected and jointly connected switching topologies.
  • Simulation examples verified the proposed scheme's effectiveness.

Conclusions:

  • The proposed event-triggered strategy enhances communication efficiency in multi-agent systems.
  • Adaptive control and updated thresholds ensure robust consensus achievement.
  • This work offers a less conservative and more practical approach to multi-agent system design.