Dynamic event‐triggered adaptive neural nonsingular fixed‐time attitude control for multi‐UAVs systems.
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| Title: | Dynamic event‐triggered adaptive neural nonsingular fixed‐time attitude control for multi‐UAVs systems. |
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| Authors: | Wang, Huanqing1 (AUTHOR) ndwhq@163.com, Li, Muxuan1 (AUTHOR), Shen, Haikuo2 (AUTHOR) |
| Source: | International Journal of Adaptive Control & Signal Processing. Sep2024, Vol. 38 Issue 9, p3102-3120. 19p. |
| Subjects: | Backstepping control method, Tangent function, Hyperbolic functions, Nonlinear systems, Nonlinear equations, Adaptive control systems, Artificial satellite attitude control systems |
| Abstract: | Summary: This article looks into the dynamic event‐triggered fixed‐time adaptive attitude control problem for nonlinear six‐rotor unmanned aerial vehicle (UAV) with external disturbances. The multiple six‐rotor UAVs considered are regarded as nonlinear multi‐agent systems (MASs), and each subsystem has multiple inputs. Under the framework of backstepping recursive design, an effective adaptive fixed‐time control method is proposed by combining neural networks (NNs) technology and fixed‐time theory. NNs are utilized to handle unknown nonlinearity and unmodeled parts in attitude systems. The hyperbolic tangent function is ushered to address the singularity problem that may occur in the derivative of the controller, thereby averting the phenomenon of chattering. For the sake of alleviating the correspondence burden of multiple UAVs attitude systems, a modified dynamic event‐triggered mechanism (DETM) is ushered. The developed controller swears for that all signals of the six‐rotor UAV attitude systems are bounded and the tracking errors converge to a small neighborhood of the origin within a fixed‐time interval. Eventually, with the help of simulation results, the effectiveness of the proposed control scheme was verified. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Adaptive Control & Signal Processing is the property of Wiley-Blackwell 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 179374326 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dynamic event‐triggered adaptive neural nonsingular fixed‐time attitude control for multi‐UAVs systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Huanqing%22">Wang, Huanqing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ndwhq@163.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Muxuan%22">Li, Muxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shen%2C+Haikuo%22">Shen, Haikuo</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Adaptive+Control+%26+Signal+Processing%22">International Journal of Adaptive Control & Signal Processing</searchLink>. Sep2024, Vol. 38 Issue 9, p3102-3120. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Backstepping+control+method%22">Backstepping control method</searchLink><br /><searchLink fieldCode="DE" term="%22Tangent+function%22">Tangent function</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperbolic+functions%22">Hyperbolic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+equations%22">Nonlinear equations</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellite+attitude+control+systems%22">Artificial satellite attitude control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Summary: This article looks into the dynamic event‐triggered fixed‐time adaptive attitude control problem for nonlinear six‐rotor unmanned aerial vehicle (UAV) with external disturbances. The multiple six‐rotor UAVs considered are regarded as nonlinear multi‐agent systems (MASs), and each subsystem has multiple inputs. Under the framework of backstepping recursive design, an effective adaptive fixed‐time control method is proposed by combining neural networks (NNs) technology and fixed‐time theory. NNs are utilized to handle unknown nonlinearity and unmodeled parts in attitude systems. The hyperbolic tangent function is ushered to address the singularity problem that may occur in the derivative of the controller, thereby averting the phenomenon of chattering. For the sake of alleviating the correspondence burden of multiple UAVs attitude systems, a modified dynamic event‐triggered mechanism (DETM) is ushered. The developed controller swears for that all signals of the six‐rotor UAV attitude systems are bounded and the tracking errors converge to a small neighborhood of the origin within a fixed‐time interval. Eventually, with the help of simulation results, the effectiveness of the proposed control scheme was verified. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Adaptive Control & Signal Processing is the property of Wiley-Blackwell 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: 10.1002/acs.3863 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 3102 Subjects: – SubjectFull: Backstepping control method Type: general – SubjectFull: Tangent function Type: general – SubjectFull: Hyperbolic functions Type: general – SubjectFull: Nonlinear systems Type: general – SubjectFull: Nonlinear equations Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: Artificial satellite attitude control systems Type: general Titles: – TitleFull: Dynamic event‐triggered adaptive neural nonsingular fixed‐time attitude control for multi‐UAVs systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Huanqing – PersonEntity: Name: NameFull: Li, Muxuan – PersonEntity: Name: NameFull: Shen, Haikuo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 08906327 Numbering: – Type: volume Value: 38 – Type: issue Value: 9 Titles: – TitleFull: International Journal of Adaptive Control & Signal Processing Type: main |
| ResultId | 1 |
