Resilient Control

Resilient control focuses on designing systems that maintain functionality and stability despite internal faults or external attacks, a critical need in increasingly interconnected cyber-physical systems. Current research emphasizes developing control strategies robust to various adversarial events, including denial-of-service attacks, false data injection, and actuator attacks, often employing techniques like reinforcement learning, digital twin architectures, and adaptive control algorithms to achieve this resilience. These advancements are crucial for securing critical infrastructure like smart grids and autonomous vehicle networks, ensuring reliable operation and preventing catastrophic failures.