This invention describes a system that takes measurements from a physical system as input and uses them to control or advise its operation. It works by first creating a detailed mathematical model of the system, mapping out all possible valid states and combinations based on its rules. This map is then stored and used to quickly process new inputs, allowing the system to generate appropriate control actions, analyses, or recommendations.
Why it matters: Filed before the widespread adoption of advanced AI/ML for complex system optimization. Modern model-based AI techniques could significantly enhance the generation and utilization of the addressable solution space, making this approach more feasible and powerful today.
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