C reators of the iconic iRonCub3 have introduced a new control method that helps the jet-powered humanoid robot stay stable ...

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 ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

The vendor’s PlantTriage Performance Supervision Software now provides supervision of Model Predictive Controllers (MPC). Without performance supervision in place, MPC controller performance often ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Jared Ecker is a researcher and fact-checker. He possesses over a decade of experience in the Nuclear and National Defense sectors resolving issues on platforms as varied as stealth bombers to UAVs.