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Finite-Time Consensus of Multiagent Systems With a Switching Protocol.

Xiaoyang Liu, James Lam, Wenwu Yu

IEEE Transactions on Neural Networks and Learning Systems

|May 15, 2015

Summary

This study introduces a novel switching consensus protocol for multiagent systems, enabling faster finite-time consensus. The protocol intelligently selects between continuous and discontinuous methods based on initial agent states for optimal performance.

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Area of Science:

Control Theory
Networked Systems
Robotics

Background:

Finite-time consensus in multiagent systems is crucial for coordinated behavior.
Existing protocols are typically either continuous or discontinuous, studied in isolation.
Challenges remain in achieving rapid consensus and handling diverse initial conditions.

Purpose of the Study:

To develop a unified framework for finite-time consensus protocols.
To design a novel centralized switching consensus protocol.
To enable faster consensus achievement in multiagent systems.

Main Methods:

Designing a centralized switching consensus protocol.
Simultaneously considering continuous and discontinuous protocol types.
Deriving an exact bound for switching criteria based on initial disagreement.

Main Results:

The proposed switching protocol achieves finite-time consensus at a faster speed.
An exact bound is derived to determine optimal protocol switching.
Numerical examples demonstrate the superiority of the new protocol.

Conclusions:

The novel switching protocol effectively unifies and improves upon existing finite-time consensus methods.
The derived switching bound provides a practical guideline for protocol selection.
This approach offers enhanced performance for coordinated multiagent systems.