Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...
Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...
Streamline Control and Snowflake deliver a unified data foundation that helps energy organizations modernize faster and ...
How finance and operations leaders can take back control of their telecom spending by using a data-driven approach ...
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Advancing AI-driven digital analytics and data governance through original engineering leadership
How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...
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