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Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant,

Ziyi Liu¹, Hadi Jahanshahi², Christos Volos³

¹School of Economics and Management, Hunan Open University, Changsha 410004, China.

Entropy (Basel, Switzerland)

|January 21, 2022

Summary

This summary is machine-generated.

This study introduces a fault-tolerant control method for chaotic supply chain networks, ensuring smooth consensus tracking despite actuator faults and disturbances. The new technique enhances system reliability and performance in complex, uncertain environments.

Keywords:

consensus tracking faults in control signal finite-time estimator super-twisting sliding mode supply chain network

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Area of Science:

Control Systems Engineering
Supply Chain Management
Networked Systems

Background:

Distributed consensus tracking control offers benefits like resilience and scalability but often overlooks actuator and agent faults, limiting practical application.
Existing research lacks investigation into consensus tracking for supply chain networks facing disturbances and control input faults.
Chaotic dynamics in supply chain networks present unique challenges for control system design.

Purpose of the Study:

To address the gap in fault-tolerant consensus tracking for chaotic multi-agent supply chain networks.
To develop a control technique robust to disturbances, uncertainties, and actuator faults.
To achieve finite-time and smooth consensus tracking in complex supply chain systems.

Main Methods:

Modeling a multi-agent supply chain network with chaotic attractors.
Proposing a novel distributed control technique for nonlinear uncertain systems.
Incorporating a finite-time super-twisting algorithm to mitigate chattering and ensure robustness.

Main Results:

Demonstration of chaotic attractors in the supply chain network model.
Validation of the proposed control scheme's effectiveness in handling actuator faults and disturbances.
Numerical simulations confirming the finite-time and smooth consensus tracking performance.

Conclusions:

The developed fault-tolerant control strategy significantly enhances the reliability and performance of chaotic multi-agent supply chain networks.
The finite-time super-twisting algorithm effectively addresses chattering and ensures robust control.
This research provides a practical solution for consensus tracking in real-world supply chain systems prone to faults and uncertainties.