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Gain-scheduling multivariable LPV control of an irrigation canal system

Authors: Bolea Monte, Yolanda; Puig Cayuela, Vicenç;

Gain-scheduling multivariable LPV control of an irrigation canal system

Abstract

The purpose of this paper is to present a multivariable linear parameter varying (LPV) controller with a gain scheduling Smith Predictor (SP) scheme applicable to open-flow canal systems. This LPV controller based on SP is designed taking into account the uncertainty in the estimation of delay and the variation of plant parameters according to the operating point. This new methodology can be applied to a class of delay systems that can be represented by a set of models that can be factorized into a rational multivariable model in series with left/right diagonal (multiple) delays, such as, the case of irrigation canals. A multiple pool canal system is used to test and validate the proposed control approach.

Country
Spain
Keywords

Teoria de, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Open-flow canals, Gain scheduling, Linear parameter varying control, Control, Teoria de, Control theory, Control, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Fault tolerance (Engineering), Anàlisi de fallades (Enginyeria)

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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15
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66
130
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