Downloads provided by UsageCounts
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.
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)
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)
| 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). | 15 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 66 | |
| downloads | 130 |

Views provided by UsageCounts
Downloads provided by UsageCounts