Complexity-based Augmentation of Control Systems
Complexity-based augmentation in control systems introduces an adaptive layer that allows real-time feedback, adjusting to the complexity of tasks and environments. Unlike traditional systems with fixed rules, this approach enhances performance and safety in uncertain scenarios. It aims to keep system complexity below critical thresholds to avoid instability. By integrating real-time complexity analytics, QCM control becomes proactive in predicting failures. Its dual role as a monitor and controller promises greater resilience for modern high-tech systems and products.
Artificial Intuition 