Prescribed performance bipartite containment control for multiagent systems with input delay and saturation under fixed‐time framework.
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| Title: | Prescribed performance bipartite containment control for multiagent systems with input delay and saturation under fixed‐time framework. |
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| Authors: | Jiao, Jianmin1,2 (AUTHOR), Li, Junmin1 (AUTHOR) jmli@mail.xidian.edu.cn, Chen, Jiaxi1 (AUTHOR), Zhang, Rui2 (AUTHOR) |
| Source: | Asian Journal of Control. Mar2026, Vol. 28 Issue 2, p922-940. 19p. |
| Subjects: | Multiagent systems, Backstepping control method, Artificial neural networks, Time delay systems |
| Abstract: | This paper investigates the fixed‐time (FT) bipartite containment control (BCC) problem for nonlinear multiagent systems (MASs) with input delay and saturation. A modified FT command filter is proposed to circumvent the computational complexity inherent in the traditional backstepping method. Simultaneously, an ameliorative FT delay compensation mechanism is devised to reduce the negative influence of input delay. Additionally, prescribed performance control (PPC) technology is integrated to enforce performance constraints on the compensated errors. Subsequently, a distributed prescribed performance FT BCC scheme is developed using FT control method, backstepping recursion algorithm, and neural network approximation technology. Finally, numerical simulations of a networked ship fleet are conducted to validate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Asian Journal of Control 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: 192204764 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prescribed performance bipartite containment control for multiagent systems with input delay and saturation under fixed‐time framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jiao%2C+Jianmin%22">Jiao, Jianmin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Junmin%22">Li, Junmin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jmli@mail.xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jiaxi%22">Chen, Jiaxi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Rui%22">Zhang, Rui</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. Mar2026, Vol. 28 Issue 2, p922-940. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Backstepping+control+method%22">Backstepping control method</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Time+delay+systems%22">Time delay systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates the fixed‐time (FT) bipartite containment control (BCC) problem for nonlinear multiagent systems (MASs) with input delay and saturation. A modified FT command filter is proposed to circumvent the computational complexity inherent in the traditional backstepping method. Simultaneously, an ameliorative FT delay compensation mechanism is devised to reduce the negative influence of input delay. Additionally, prescribed performance control (PPC) technology is integrated to enforce performance constraints on the compensated errors. Subsequently, a distributed prescribed performance FT BCC scheme is developed using FT control method, backstepping recursion algorithm, and neural network approximation technology. Finally, numerical simulations of a networked ship fleet are conducted to validate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Asian Journal of Control 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/asjc.3705 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 922 Subjects: – SubjectFull: Multiagent systems Type: general – SubjectFull: Backstepping control method Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Time delay systems Type: general Titles: – TitleFull: Prescribed performance bipartite containment control for multiagent systems with input delay and saturation under fixed‐time framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiao, Jianmin – PersonEntity: Name: NameFull: Li, Junmin – PersonEntity: Name: NameFull: Chen, Jiaxi – PersonEntity: Name: NameFull: Zhang, Rui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15618625 Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Asian Journal of Control Type: main |
| ResultId | 1 |
