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Group consensus control for networked multi-agent systems with communication delays.

Bao-Ran An¹, Guo-Ping Liu², Chong Tan³

¹Institute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, China.

ISA Transactions

|March 20, 2018

Summary

This summary is machine-generated.

This study addresses group consensus in networked multi-agent systems (NMAS) with communication delays. A novel control protocol actively compensates for delays, ensuring reliable group consensus under mild conditions.

Keywords:

Communication delays Group consensus Networked multi-agent systems Time delay compensation scheme

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Area of Science:

Control Theory
Networked Multi-Agent Systems (NMAS)
Systems Engineering

Background:

Networked multi-agent systems (NMAS) face challenges in achieving group consensus due to inherent communication delays.
Existing control strategies often struggle to actively compensate for these delays, limiting system performance and reliability.

Purpose of the Study:

To investigate and solve group consensus problems in NMAS characterized by communication delays.
To develop and validate a novel group consensus control protocol capable of actively mitigating communication delays.

Main Methods:

Design of a group consensus control protocol utilizing a state prediction scheme to actively compensate for communication delays.
Application of algebraic graph theories and matrix theories to derive necessary and/or sufficient conditions for group consensus.
Validation of theoretical results through comprehensive simulations.

Main Results:

The proposed control protocol effectively compensates for communication delays in NMAS.
Necessary and/or sufficient conditions for achieving group consensus were established under mild assumptions.
Simulation results confirmed the practical effectiveness of the developed theoretical framework.

Conclusions:

The novel state prediction-based control protocol offers a robust solution for group consensus in delayed NMAS.
The derived theoretical conditions provide valuable insights for designing and analyzing consensus protocols in similar systems.