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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Optimal Control Appl...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Optimal Control Applications and Methods
Article . 1982 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1982
Data sources: zbMATH Open
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A Two‐Level optimal final‐value control system for non‐linear plants realized with mini/micro computers

A two-level optimal final-value control system for non-linear plants realized with mini/micro computers
Authors: Asselmeyer, B.;

A Two‐Level optimal final‐value control system for non‐linear plants realized with mini/micro computers

Abstract

AbstractA two‐level approach for optimal final‐value control of non‐linear systems is considered. On the higher level, an on‐line optimization (using a Ritz parameterization of the control functions1) is performed during each major sampling interval in order to compute the control functions for the next intervals. On the lower level, an explicit model‐following control is used with a minor sampling interval. This allows, even for heavily disturbed systems, sufficiently long major intervals for the on‐line optimization. An ammonia reactor2 is used as an example, and the application of this procedure is discussed. A realization of the controller using a hierarchical computer configuration gives an indication that, with a reasonable amount of hardware, sampling intervals of about one minute for the on‐line optimization and well below one second for the model‐following control may be obtained.

Keywords

optimal final-value control problem, hierarchical control, Newton-type methods, Chemical kinetics in thermodynamics and heat transfer, Hierarchical systems, model-following control, on-line optimization, Nonlinear systems in control theory, Ritz parameterization, Control/observation systems governed by ordinary differential equations, Optimality conditions for solutions belonging to restricted classes (Lipschitz controls, bang-bang controls, etc.)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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