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A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent

Xiaobo Wang¹, Juelong Li^1,2, Jianchun Xing¹

¹College of Defense Engineering, PLA University of Science and Technology, Nanjing, 210007 China.

Journal of Inequalities and Applications

|October 31, 2017

Summary

This summary is machine-generated.

This study introduces an event-triggered control protocol for finite-time average consensus in multiagent systems, ensuring stability and preventing Zeno behavior for efficient coordination.

Keywords:

consensus event-triggered control finite-time multiagent system protocol

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Area of Science:

Control Theory
Networked Systems
Distributed Computing

Background:

Achieving consensus in multiagent systems is crucial for coordinated tasks.
Traditional protocols often require continuous communication, leading to high energy consumption.
Event-triggered strategies offer a more efficient alternative by reducing communication frequency.

Purpose of the Study:

To develop a novel finite-time average consensus protocol utilizing an event-triggered control strategy.
To rigorously prove the stability of the proposed multiagent system.
To analyze the convergence time and interevent time properties of the protocol.

Main Methods:

Design of a finite-time average consensus protocol with an event-triggered mechanism.
Mathematical proof of system stability using Lyapunov methods.
Derivation of lower bounds for interevent time to avoid Zeno behavior.
Derivation of upper bounds for convergence time.
Analysis of the relationship between convergence time, protocol parameters, and initial states.

Main Results:

The proposed event-triggered protocol guarantees finite-time average consensus.
System stability is formally proven.
A lower bound on interevent time is established, ensuring no Zeno behavior.
An upper bound on the convergence time is derived.
The influence of protocol parameters and initial states on convergence is analyzed.

Conclusions:

The novel event-triggered protocol effectively achieves finite-time average consensus in multiagent systems.
The protocol ensures system stability and avoids Zeno behavior.
The derived bounds provide valuable insights into the protocol's performance and efficiency.