Security fuzzy control for nonlinear networked systems with multichannel DoS attacks and actuator saturation

Area of Science:

• Control Systems Engineering
• Fuzzy Logic Systems
• Network Security

Background:

• Nonlinear networked control systems (NNCSs) are vulnerable to denial-of-service (DoS) attacks, compromising stability.
• Multichannel DoS attacks can disrupt communication between system components.
• Actuator saturation is a critical issue in NNCSs, especially under attack conditions.

Purpose of the Study:

• To design an interval-type-2 (IT-2) fuzzy controller for NNCSs under multichannel DoS attacks.
• To address actuator saturation caused by DoS attacks and limited actuator performance.
• To improve network resource utilization and reduce data transmission pressure.

Main Methods:

• Modeling the NNCS using an IT-2 fuzzy control system with introduced uncertainty.
• Simulating multichannel DoS attacks using the Bernoulli distribution.
• Developing an improved adaptive event-triggered mechanism (AETM) to manage data transmission.
• Designing a closed-loop system incorporating the IT-2 fuzzy controller and AETM.

Main Results:

• The proposed IT-2 fuzzy controller effectively manages NNCSs under simultaneous DoS attacks.
• The AETM successfully alleviates data transmission pressure and improves network resource utilization.
• The study demonstrates the controller's validity in handling actuator saturation and system uncertainty.

Conclusions:

• The designed IT-2 fuzzy controller provides a robust solution for NNCSs facing multichannel DoS attacks.
• The AETM is crucial for maintaining system performance and efficiency in compromised network environments.
• Simulation results validate the proposed control strategy's effectiveness.