Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a 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.

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 ...

Khan, Akhtar A. and Dumitru Motreanu. "Existence Theorems for Elliptic and Evolutionary." J Optim Theory Appl 167. (2015): 1136—1161. Print. * Jadamba, B., et al. "Identification of Flexural Rigidity ...

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 ...

This is a preview. Log in through your library . Abstract In this paper, we revisit the auction design problem for multi-item auctions with budget constrained buyers by introducing a robust ...

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

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...