Model-based controllers could replace existing regulatory and advanced regulatory control structures because these controllers can send their outputs directly to the final control elements. However, ...

Efficient model-based control depends on reliable models, but models have proven to be very fragile. This conundrum is unlikely to be solved, but it can be mitigated. Optimization is at home in the ...

Model-based, reaction-invariant pH controller is implemented to account for the nonlinearities with Bayesian estimation addressing variations in the operation. The residence time distribution is ...

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

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

This model-centric development approach is known as model-based design (Figure 1). Figure 1 Model-based design streamlines embedded control design with modeling, simulation, and automatic code ...

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. Vanadium redox flow batteries are one ...