Adaptive event-triggered control for almost sure stability for vehicle platooning under interference and stochastic...

Area of Science:

• Control Systems Engineering
• Network Security
• Automotive Engineering

Background:

• Vehicle platooning is vulnerable to communication channel disruptions, including stochastic attacks like Denial of Service (DoS).
• Ensuring string stability and safety in platoons requires robust control strategies that adapt to varying interference levels.

Purpose of the Study:

• To design an adaptive event-triggered control strategy for vehicle platooning.
• To address stochastic attacks and interferences in communication channels.
• To achieve almost sure string stability while balancing safety and system interference.

Main Methods:

• Introduction of Bernoulli and Markovian distribution Denial of Service (DoS) models.
• Development of a stability criterion for almost sure string stability against jamming attacks.
• Design of an asymmetric event-triggered strategy framework to adapt to transmission environments and safety requirements.

Main Results:

• The proposed controller demonstrates effectiveness in maintaining vehicle platoon stability.
• The asymmetric event-triggered strategy successfully adapts to different safety requirements and interference levels.
• Simulations validate the controller's performance under Bernoulli and Markovian DoS models.

Conclusions:

• The presented adaptive event-triggered strategy and controller design are effective for vehicle platooning under stochastic attacks.
• The developed framework enhances robustness against communication channel interferences.
• The approach offers a balance between safety requirements and system interference reduction.