Control Challenges for Resilient Control Systems

Abstract

In this chapter, we introduce methods to address resiliency issues for control systems. The main challenge for control systems is its cyber-physical system nature which strongly couples the cyber systems with physical layer dynamics. Hence the resiliency issues for control systems need to be addressed by integrating the cyber resiliency with the physical layer resiliency. We introduce frameworks that can provide a holistic view of the control system resiliency and a quantitative design paradigm that can enable an optimal cross-layer and cross-stage design at the planning, operation, and recovery stage of control systems. The control systems are often large-scale systems in industrial application and critical infrastructures. Decentralized control of such systems is indispensable. We extend the resiliency framework to address distributed and collaborative resiliency among decentralized control agents.

References in corpus (5)

• A Dynamic Games Approach to Proactive Defense Strategies against Advanced Persistent Threats in Cyber-Physical Systems
• Optimal Secure Multi-Layer IoT Network Design
• A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
• Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals
• Dynamic Interference Minimization Routing Game for On-Demand Cognitive Pilot Channel