The course consists of three weeks of materials and is focused on modeling and control of grid-tied power electronics. Upon completion of the course, you will be able to understand, analyze, model, ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Southwest Research Institute (SwRI), on behalf of the Numerical Propulsion System Simulation (NPSS®) Consortium, has released ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

1a. Simplified schematic and design and optimization flowchart. Using mathematical software to fully model Synchronous Buck Converter (SBC) performance in symbolic form is a tool that is available ...

Multi-part effort Define in detail an abstract model of the enterprise, including manufacturing control functions and business functions, and its information exchange. Establish common terminology for ...