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 ...

In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...

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 ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

New platform delivers millisecond-level power stabilization to manage AI-driven load volatility and hybrid power ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

For decades, the U.S. Department of Defense (DOD) has struggled to make meaningful progress toward realizing the vision of Combined Joint All-Domain Command and Control (CJADC2). Meanwhile, in Ukraine ...

Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. For centuries, quality control inspection has been time-consuming and ...