Optimal tracking performance of networked control systems under communication constraints.

Area of Science:

• Control Systems Engineering
• Information Security
• Signal Processing

Background:

• Communication systems face challenges from Denial of Service (DoS) attacks and energy constraints.
• Intrusion Detection Systems (IDS) and DoS attacks exhibit non-cooperative dynamics.
• Additive Gaussian white noise and codec limitations impact system performance.

Purpose of the Study:

• To investigate the Optimal Tracking Performance (OTP) of multiple-input multiple-output (MIMO) discrete-time systems.
• To analyze the interplay between DoS attacks and IDS using game theory.
• To develop strategies for improving system performance under adversarial conditions and constraints.

Main Methods:

• Repeated game theory to model the non-cooperative relationship between DoS attacks and IDS.
• Development of a penalty mechanism to incentivize cooperative attacker strategies.
• Application of partial factorization and spectrum decomposition techniques.
• Analysis of system characteristics such as non-minimum phase zeros and unstable poles.

Main Results:

• A penalty mechanism was devised to shift attacker behavior towards cooperation, enhancing system performance.
• The study provides a method to calculate OTP for communication-constrained MIMO systems.
• Optimal tracking performance is demonstrably linked to system-intrinsic properties like poles and zeros.
• The proposed methods were validated through concrete examples, confirming accuracy.

Conclusions:

• The developed penalty mechanism effectively improves system performance by fostering cooperation against DoS attacks.
• Understanding system-specific characteristics is crucial for optimizing tracking performance.
• The findings offer valuable insights for designing robust communication systems resilient to security threats and operational constraints.