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 ...

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.

Experimental optimization methods are used to determine optimal decision policies in the cases where the functional form or parameter values are unknown. The optimal design of such experiments is ...

One of the principal problems when dealing with fishery resource management is to estimate strategies that satisfy biological, economic and social objectives simultaneously. As a contribution to ...

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

Abstract: Safety assurance is critical in autonomous vehicle operation. Yet, this principle is significantly challenged in space, where vehicles must operate in nonlinear environments with stringent ...

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 ...