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 ... Badgwell in Control Engineering Practice 11 (2003) 733–764 ...

Famous quotes containing the words control and/or model:

    Teenage boys, goaded by their surging hormones ... run in packs like the primal horde. They have only a brief season of exhilarating liberty between control by their mothers and control by their wives.
    Camille Paglia (b. 1947)

    Your home is regarded as a model home, your life as a model life. But all this splendor, and you along with it ... it’s just as though it were built upon a shifting quagmire. A moment may come, a word can be spoken, and both you and all this splendor will collapse.
    Henrik Ibsen (1828–1906)