Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

None of the continuous flow reactors, however, address the control challenges with operating this system. This presentation describes a low-cost, column-based continuous viral inactivation system ...

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

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

Model-based manufacturing is a foundational element of the smart factory. When integrated with Industry 4.0 technologies—such ...

Deep reinforcement learning produces robust locomotion policies for legged robots over challenging terrains. To date, few studies have leveraged model-based methods to combine these locomotion skills ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...