Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

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 ...

Achieving cost-competitiveness for green hydrogen produced via water electrolysis using intermittent renewable energy sources remains a significant challenge. Researchers from LUT University in ...

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

Queenique graduated with her bachelor’s and master’s degrees in astronautical engineering from the University of Southern California. Her research interests lie in the applications of optimization and ...

Accurate temperature control is particularly essential in the battery industry, especially during the processes of coating ...

Continued investment and innovation leads to new tools that deliver rapid connectivity, onboarding, and time-to-value for joint customers Over the past several years, the number of McLeod customers ...