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 ...

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

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 ...

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-consciousness, combined with demands for ...

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 ...

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.

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 ...

The next wave of cloud evolution will center on converged data security platforms—architectures that unify policy enforcement ...