@inproceedings{d6830c18891c41ec8539d01ed4ae72da,
title = "CONTROL-ID: an integrated framework for system identification and process control",
abstract = "CONTROL-ID is a Computer Aided Control Engineering (CACE) tool serving as a support environment for CACSD in the chemical process industry. The fundamental basis for this tool is the theory of control-relevant system identification, which takes advantage of the interplay between identification and control design. CONTROL-ID is implemented using MATLAB on a VAXStation 4000 cluster, which is integrated in real-time to an industrial-scale Honeywell TDC 3000 plant information and control system. Control action is computed on the TDC 3000 system using low-order difference equations, which yield superior performance over traditional PID control while resembling the behavior of model predictive control systems. Results from a simulation study using a gasoil furnace are reported.",
author = "Gaikwad, {S. V.} and Daniel Rivera",
year = "1994",
month = dec,
day = "1",
language = "English (US)",
isbn = "0780318005",
series = "Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided",
publisher = "Publ by IEEE",
pages = "539--544",
editor = "Mattsson, {Sven Erik} and Gray, {John O.} and Cellier, {Francois E.}",
booktitle = "Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided",
note = "Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided Control System Design ; Conference date: 07-03-1994 Through 09-03-1994",
}