Model Predictive Control

Model Predictive Control, or MPC, is an advanced method of process control that has been in use in the process industries such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the process, most often linear empirical models obtained by system identification.

Read more about Model Predictive ControlOverview, Nonlinear MPC, Commercially Available MPC Software

Other articles related to "control, model predictive control, model":

List Of People In Systems And Control - Active Researchers
... Author of five books, including Introduction to Stochastic Control Theory (1970 and Dover, 2006) and (with Wittenmark) of Adaptive Control (Addison-Wesley, 1995) ... Michael Athans MIT Co-author of the book Optimal Control, (McGraw-Hill, 1966) ... Developed applications of LQ]/LTR control to helicopters and submarines ...
Model Predictive Control - Commercially Available MPC Software
... Commercial MPC packages are available and typically contain tools for model identification and analysis, controller design and tuning, as well as controller performance evaluation ... Badgwell in Control Engineering Practice 11 (2003) 733–764 ...

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