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 ...

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 ...

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 ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

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 ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price ...

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 ...

The proposed system in Delhi will use hyperlocal sensors and dynamic source apportionment for targeted interventions.

Forbes contributors publish independent expert analyses and insights. Neil Sahota is a globally sought after speaker and business advisor. A photographer takes a picture of CEO female robot "Mika" (C) ...

DUBAI — Genetec Inc. (“Genetec”), the global leader in enterprise physical security software, highlights how modern, data-driven access control is becoming a strategic business priority for ...

You often hear entrepreneurs say, “We don’t know what we don’t know,” when talking about deficiencies in data gathering. But when you have data in silos, it’s more a case of “We don’t know what we DO ...