Zobrazeno 1 - 10
of 14
pro vyhledávání: '"R.S. Gopinath"'
Publikováno v:
Biotechnology Progress. 11:318-332
Multivariable controller design for the regulation of mean arterial pressure (MAP) and cardiac output (CO) in congestive heart failure patients is restricted by the limited frequency of CO sampling. Performance criteria for the controller specify max
Publikováno v:
IFAC Proceedings Volumes. 27:155-160
A new method for disturbance prediction in model predictive control is presented. The disturbance predictor is based on a linear model representation over all future points from the current operating point, but is easily used in a nonlinear MPC formu
Publikováno v:
Computers & Chemical Engineering. 17:361-366
This paper discusses the implementation of different nonlinear strategies in a model predictive control (MPC) framework to control an exothermic continuous stirred tank reactor. The computational efficiency of an MPC strategy depends on the method us
Publikováno v:
Proceedings of 1994 American Control Conference - ACC '94.
Multivariable controller design for the regulation of blood pressure and flowrate in congestive heart failure patients is typically limited by the sample time for blood flowrate. We present a multirate model predictive control (MPC) design for the mu
Publikováno v:
Proceedings of 1995 34th IEEE Conference on Decision and Control.
The automated control of haemodynamic variables such as cardiac output and mean arterial pressure has been a goal of many research projects. While the design of such drug infusion controllers has often been based upon simplified linear models, the ac
Autor:
R.S. Gopinath, B. Wayne Bequette
Publikováno v:
1992 American Control Conference.
Model predictive control (MPC) techniques have found widespread application in the chemical process industry, primarily due to explicit constraint handling ability. One limitation to these techniques is that they are based on the availability of outp
Publikováno v:
1991 American Control Conference.
Nonlinear predictive control is an effective strategy for controlling nonlinear processes with constaints and time delays. In this paper a number of important issues involving the implementation of nonlinear predictive control are addressed. The most
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.