Variable impulsive control for fuzzy modeling memristor‐based chaotic system with control gain error.
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| Title: | Variable impulsive control for fuzzy modeling memristor‐based chaotic system with control gain error. |
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| Authors: | Zhang, Zhengle1 (AUTHOR), Ma, Tiedong2 (AUTHOR) tdma@cqu.edu.cn, Li, Shuang3 (AUTHOR), Wu, Yanting1 (AUTHOR) |
| Source: | Asian Journal of Control. Jul2026, Vol. 28 Issue 4, p1996-2004. 9p. |
| Subjects: | Fuzzy algorithms, Nonlinear systems, Chaos theory, Global asymptotic stability |
| Abstract: | The paper focuses on the variable impulsive control of memristor‐based chaotic system with control gain error via fuzzy modeling approach. Firstly, the variable impulsive approach is adopted, which can increase the flexibility of control strategy. Secondly, the fuzzy model is introduced, then the nonlinear part in system can be transformed to the sum of linear systems. In addition, the control gain error is considered, which is more in line with the practical situation. Then the condition for realizing the asymptotic stability is obtained, and the guidelines for choosing control parameters are given to have a better control performance. Finally, an example is presented to prove the effectiveness of our result. [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: 195289417 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Variable impulsive control for fuzzy modeling memristor‐based chaotic system with control gain error. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zhengle%22">Zhang, Zhengle</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Tiedong%22">Ma, Tiedong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> tdma@cqu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Shuang%22">Li, Shuang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Yanting%22">Wu, Yanting</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. Jul2026, Vol. 28 Issue 4, p1996-2004. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fuzzy+algorithms%22">Fuzzy algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink><br /><searchLink fieldCode="DE" term="%22Global+asymptotic+stability%22">Global asymptotic stability</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The paper focuses on the variable impulsive control of memristor‐based chaotic system with control gain error via fuzzy modeling approach. Firstly, the variable impulsive approach is adopted, which can increase the flexibility of control strategy. Secondly, the fuzzy model is introduced, then the nonlinear part in system can be transformed to the sum of linear systems. In addition, the control gain error is considered, which is more in line with the practical situation. Then the condition for realizing the asymptotic stability is obtained, and the guidelines for choosing control parameters are given to have a better control performance. Finally, an example is presented to prove the effectiveness of our result. [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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195289417 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asjc.3801 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1996 Subjects: – SubjectFull: Fuzzy algorithms Type: general – SubjectFull: Nonlinear systems Type: general – SubjectFull: Chaos theory Type: general – SubjectFull: Global asymptotic stability Type: general Titles: – TitleFull: Variable impulsive control for fuzzy modeling memristor‐based chaotic system with control gain error. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Zhengle – PersonEntity: Name: NameFull: Ma, Tiedong – PersonEntity: Name: NameFull: Li, Shuang – PersonEntity: Name: NameFull: Wu, Yanting IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15618625 Numbering: – Type: volume Value: 28 – Type: issue Value: 4 Titles: – TitleFull: Asian Journal of Control Type: main |
| ResultId | 1 |
