Dynamic games for secure and resilient control system design

Area of Science:

• Control Systems Engineering
• Game Theory
• Cyber-Physical-Human Systems

Background:

• Modern control systems exhibit hierarchical cyber, physical, and human layers with complex interdependencies.
• Addressing cross-layer security and resilience challenges requires an integrated design framework.

Purpose of the Study:

• To present a multi-layer perspective on integrated control systems.
• To introduce dynamic game variants for modeling control system layers.
• To explore game-theoretic methods for enhancing system robustness, security, and resilience.

Main Methods:

• Reviewing multi-layer perspectives of control systems.
• Applying dynamic game theory to model strategic interactions across system layers.
• Analyzing trade-offs between robustness, security, and resilience.

Main Results:

• Game theory provides a bottom-up paradigm for understanding and designing cyber-physical-human control systems.
• Dynamic games enable a holistic view for enhancing system performance in adversarial settings.
• Identified three key research problems and future directions at the intersection of dynamic games and control systems.

Conclusions:

• Dynamic game approaches are crucial for bridging research areas and contributing to modern control system design.
• An integrated, game-theoretic framework is essential for tackling cross-layer security and resilience.
• Emerging research areas highlight the growing importance of dynamic games in control systems.