Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

The research flow loop is used to study how a clean hole can be created during the drilling process. For example, when a well is being built, solid particles, called “cuttings” are generated as rocks ...

Learning the basics can ease loop tuning frustration and ensure stability. During plant operations, it seems that tuning control loops is an ongoing task, which can be a continual frustration to ...

Power plants–especially coal-fired boilers–pose a set of process control problems unparalleled in other industries. Rapid load ramps, continuous unit demand changes, variable fuel quality and process ...

Just over a decade ago, an article titled, "Advanced Control Strategies Move into the Field" (Control, October 2008), highlighted three evolving trends in the process control world that would "make ...

In 2012, Automation World published an article looking at the decision factors faced when choosing electric or pneumatic actuators. More than a decade later, manufacturing engineers and OEMs still ...

Australian researchers are proposing a novel, learning-based H∞ control method to enhance the performance of vanadium redox flow batteries in DC microgrids. Vanadium redox flow batteries are one of ...

Systems pH control systems are known by their extreme rangeability and sensitivity, but contact between the measurement electrodes and hostile fluids can cause issues. Case studies of representative ...