Adaptive Operation

Adaptive operation focuses on designing systems capable of dynamically adjusting their behavior in response to changing environments or objectives. Current research emphasizes developing robust control architectures, often incorporating reinforcement learning, neural architecture search, and model-based reasoning, to enable autonomous adaptation in diverse applications. These advancements are crucial for improving efficiency, reliability, and flexibility in areas ranging from energy management and robotics to advanced reactor control, ultimately leading to more resilient and adaptable systems.