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.
Other articles related to "model predictive control, model, control":
... 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 ...
... 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 ...
Famous quotes containing the words control and/or model:
“... the black girls didnt get these pills because their black ministers were up on the pulpit saying that birth control pills were black genocide. What Im saying is that black men have exploited black women.... They didnt want them to have any choice about their reproductive health. And if you cant control your reproduction, you cant control your life.”
—Joycelyn Elders (b. 1933)
“Your home is regarded as a model home, your life as a model life. But all this splendor, and you along with it ... its 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 (18281906)