State barrier avoidance control for complex barriers using a diffeomorphic transformation-based method.

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Title: State barrier avoidance control for complex barriers using a diffeomorphic transformation-based method.
Authors: Tian, Dongzuo1 (AUTHOR), Zhang, Zihang1 (AUTHOR), Song, Xingyong1 (AUTHOR) songxy@tamu.edu
Source: International Journal of Control. Jun2026, Vol. 99 Issue 6, p1798-1810. 13p.
Subjects: Diffeomorphisms, Constraints (Physics), Control theory (Engineering), Optimization algorithms, Nonlinear control theory
Abstract: State-constrained control is a pivotal topic in nonlinear control systems, aimed at preventing state violations of constraints or barriers. Previous research on state-constrained control has faced limitations in computational efficiency, system types, and constraint shapes. Most existing works only address barriers or constraints with simple shapes, making it challenging to extend to complex state constraints under current frameworks. In this paper, we present a novel barrier avoidance control method that systematically addresses complex barrier shapes using a diffeomorphic transformation. Case studies are presented to demonstrate the flexibility and effectiveness of this approach. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Control is the property of Taylor & Francis Ltd 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.)
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An: 194222064
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  Data: State barrier avoidance control for complex barriers using a diffeomorphic transformation-based method.
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  Data: <searchLink fieldCode="AR" term="%22Tian%2C+Dongzuo%22">Tian, Dongzuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zihang%22">Zhang, Zihang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Xingyong%22">Song, Xingyong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> songxy@tamu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Control%22">International Journal of Control</searchLink>. Jun2026, Vol. 99 Issue 6, p1798-1810. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Diffeomorphisms%22">Diffeomorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Constraints+%28Physics%29%22">Constraints (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+control+theory%22">Nonlinear control theory</searchLink>
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  Label: Abstract
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  Data: State-constrained control is a pivotal topic in nonlinear control systems, aimed at preventing state violations of constraints or barriers. Previous research on state-constrained control has faced limitations in computational efficiency, system types, and constraint shapes. Most existing works only address barriers or constraints with simple shapes, making it challenging to extend to complex state constraints under current frameworks. In this paper, we present a novel barrier avoidance control method that systematically addresses complex barrier shapes using a diffeomorphic transformation. Case studies are presented to demonstrate the flexibility and effectiveness of this approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Control is the property of Taylor & Francis Ltd 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:
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    Identifiers:
      – Type: doi
        Value: 10.1080/00207179.2026.2616032
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1798
    Subjects:
      – SubjectFull: Diffeomorphisms
        Type: general
      – SubjectFull: Constraints (Physics)
        Type: general
      – SubjectFull: Control theory (Engineering)
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Nonlinear control theory
        Type: general
    Titles:
      – TitleFull: State barrier avoidance control for complex barriers using a diffeomorphic transformation-based method.
        Type: main
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            NameFull: Tian, Dongzuo
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            NameFull: Zhang, Zihang
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            NameFull: Song, Xingyong
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 99
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              Value: 6
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            – TitleFull: International Journal of Control
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