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: ...

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 ...