Model Predictive Control (MPC) is a modern feedback law that generates ... whereas the discretization time should be as large as possible to reduce the number of optimization variables for a fixed ...

An innovative use of model predictive control has been demonstrated to adjust process model parameters (manipulated variables) automatically to provide a better match between key process variables in ...

Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model. This can adversely affect the regression results. A variance inflation ...

after correlating biomedical markers with psychological variables, the results reflect a pattern that repeats over time: ...

Unlike researchers in the physical sciences, econometricians are rarely able to conduct controlled experiments in which ... into account the impact of the other explanatory variables in the model (see ...

Variable uncertainty, however, was a major problem; economics could not isolate controlled and independent ... information creates a loophole in the model. If the models produced in ceteris ...