NDLI: Using first-principle models in control

Content Provider	IEEE Xplore Digital Library
Author	Rhinehart, R.R.
Copyright Year	1997
Description	Author affiliation: Dept. of Chem. Eng., Texas Tech. Univ., Lubbock, TX, USA (Rhinehart, R.R.)
Abstract	Technical advances in computers make it feasible to use nonlinear process models for automatic control. One advantage over linear model-based controllers is that nonlinear controllers are functional over a wider operating range without retuning; and, where process nonlinearity is the major control problem, nonlinear controllers have demonstrated industrial success. Where designed with adaptive models, tracking phenomenologically meaningful model coefficients for process diagnosis, and using the model for supervisory optimization are other advantages. Disadvantages are the required case-by-case controller design and inability to mathematically guarantee such features as convergence, stability, etc.
Starting Page	10
Ending Page	19
File Size	495566
Page Count	10
File Format	PDF
DOI	10.1109/DMCA.1997.603383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic control Fluid dynamics Inverse problems Transfer functions Process control Output feedback Predictive models Chemical engineering Design optimization Stability
Content Type	Text
Resource Type	Article

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Using first-principle models in control