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Differential Entropy-Based Fault-Detection Mechanism for Power-Constrained Networked Control Systems.

Alejandro J Rojas¹

¹Departamento de Ingeniería Eléctrica, Universidad de Concepción, Concepción 4070409, Chile.

Entropy (Basel, Switzerland)

|March 28, 2024

Summary

This summary is machine-generated.

This study introduces a novel fault-detection and identification mechanism for power-constrained networked control systems (NCSs) using differential entropy. The method enhances system security against plant gain and pole location faults in noisy network conditions.

Keywords:

AWGN channel differential entropy fault detection fault identification networked control systems power constraint

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Area of Science:

Control Systems Engineering
Information Theory
Network Security

Background:

Networked Control Systems (NCSs) are susceptible to faults in plant gain and unstable poles, potentially caused by natural events or malicious attacks.
Power constraints in NCS design require careful consideration, particularly for stationary approaches and finite-time approximations of control loop signals.
Additive white Gaussian noise (AWGN) channels in both direct and feedback paths complicate signal processing and fault detection.

Purpose of the Study:

To design a power-constrained NCS with a robust fault-detection mechanism.
To develop a fault-identification method capable of discriminating between different fault types.
To address finite-time approximations of power constraints for control loop signals.

Main Methods:

Utilizing differential entropy estimation based on finite-time approximation of controller output signals.
Implementing a fault-detection mechanism leveraging estimated differential entropy.
Developing a fault-identification strategy to distinguish between detected faults.

Main Results:

Successfully designed a power-constrained NCS with a differential entropy-based fault-detection system.
Demonstrated the effectiveness of the finite-time approximation for power constraints.
Proposed a fault-identification mechanism that accurately discriminates faults within the control loop.

Conclusions:

The proposed differential entropy-based approach offers a viable method for fault detection and identification in power-constrained NCSs.
The finite-time approximation of power constraints is crucial for practical implementation.
Future research can extend these findings to fault recovery and enhance control resilience.