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Consensus Control With Failure--Wait or Abandon?

Wai Kin Victor Chan, C L Philip Chen

IEEE Transactions on Cybernetics

|March 21, 2015

Summary

This summary is machine-generated.

Autonomous agents face a critical decision when one agent fails during consensus control: wait and delay, or abandon and reach the target faster. This study provides optimal strategies for this failure scenario.

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Area of Science:

Robotics
Control Theory
Distributed Systems

Background:

Cooperative behavior in multi-agent systems is crucial for tasks like coordinated movement and data gathering.
Agent failure introduces significant challenges to achieving timely consensus in distributed systems.
Existing consensus control strategies often assume perfect system operation.

Purpose of the Study:

To address the decision-making problem in consensus control when an agent fails.
To determine the optimal strategy (wait or abandon) for the remaining agents.
To analyze the trade-offs between consensus time and agent loss.

Main Methods:

Derivation of analytical expressions for target distance functions.
Establishment of structural properties related to agent failure.
Development of a decision framework for optimal agent behavior.

Main Results:

Quantification of the delay incurred by waiting for a failed agent.
Identification of conditions under which abandoning a failed agent is optimal.
Formulation of decision criteria based on system parameters.

Conclusions:

The study provides a robust framework for handling agent failures in consensus control.
Optimal decision-making can minimize consensus time while accounting for agent loss.
The derived analytical tools enhance the reliability of multi-agent systems.