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Article . 2006 . Peer-reviewed
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A Model Predictive Control Algorithm Applied To Non‐Linear Processes

Authors: Radu Balan; Vistrian Maties; Olimpiu Hancu; Sergiu Stan;

A Model Predictive Control Algorithm Applied To Non‐Linear Processes

Abstract

AbstractModel predictive control (MPC) is an optimization‐based approach that has been successfully applied to a wide variety of control problems. In most of nonlinear strategies, the controllers are based on linear models with fixed parameters so that the vast body of linear control theory can be applied. Other solutions include the use of a nonlinear analytical model, combinations of linear empirical models, etc. This paper presents an MPC algorithm which uses on‐line simulation and rule‐based control. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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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!
0
Average
Average
Average
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