Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control].
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| Title: | Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]. |
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| Authors: | van Overloop, P.J., Maestre, J.M., Sadowska, Anna D., Camacho, Eduardo F., De Schutter, Bart |
| Source: | IEEE Control Systems. Aug2015, Vol. 35 Issue 4, p19-29. 11p. |
| Subjects: | Automatic control systems, Mathematical models, Manual control systems, Information processing, Remote sensing, Human-robot interaction |
| Abstract: | Until now, advanced model-based control techniques have been predominantly employed to control problems that are relatively straightforward to model. Many systems with complex dynamics or containing sophisticated sensing and actuation elements can be controlled if the corresponding mathematical models are available, even if there is uncertainty in this information. Consequently, the application of model-based control strategies has flourished in numerous areas, including industrial applications [1]-[3]. [ABSTRACT FROM PUBLISHER] |
| Copyright of IEEE Control Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108444191 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22van+Overloop%2C+P%2EJ%2E%22">van Overloop, P.J.</searchLink><br /><searchLink fieldCode="AR" term="%22Maestre%2C+J%2EM%2E%22">Maestre, J.M.</searchLink><br /><searchLink fieldCode="AR" term="%22Sadowska%2C+Anna+D%2E%22">Sadowska, Anna D.</searchLink><br /><searchLink fieldCode="AR" term="%22Camacho%2C+Eduardo+F%2E%22">Camacho, Eduardo F.</searchLink><br /><searchLink fieldCode="AR" term="%22De+Schutter%2C+Bart%22">De Schutter, Bart</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Control+Systems%22">IEEE Control Systems</searchLink>. Aug2015, Vol. 35 Issue 4, p19-29. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Manual+control+systems%22">Manual control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+processing%22">Information processing</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Human-robot+interaction%22">Human-robot interaction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Until now, advanced model-based control techniques have been predominantly employed to control problems that are relatively straightforward to model. Many systems with complex dynamics or containing sophisticated sensing and actuation elements can be controlled if the corresponding mathematical models are available, even if there is uncertainty in this information. Consequently, the application of model-based control strategies has flourished in numerous areas, including industrial applications [1]-[3]. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Control Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/MCS.2015.2427040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 19 Subjects: – SubjectFull: Automatic control systems Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Manual control systems Type: general – SubjectFull: Information processing Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Human-robot interaction Type: general Titles: – TitleFull: Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: van Overloop, P.J. – PersonEntity: Name: NameFull: Maestre, J.M. – PersonEntity: Name: NameFull: Sadowska, Anna D. – PersonEntity: Name: NameFull: Camacho, Eduardo F. – PersonEntity: Name: NameFull: De Schutter, Bart IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 1066033X Numbering: – Type: volume Value: 35 – Type: issue Value: 4 Titles: – TitleFull: IEEE Control Systems Type: main |
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