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Adaptive fuzzy command filtered backstepping consensus tracking control for discrete‐time nonlinear multiagent systems.

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Title: Adaptive fuzzy command filtered backstepping consensus tracking control for discrete‐time nonlinear multiagent systems.
Authors: Sun, Aoyu1 (AUTHOR), Zhao, Lin1 (AUTHOR) zhaolin1585@163.com
Source: Asian Journal of Control. May2026, Vol. 28 Issue 3, p1235-1244. 10p.
Subjects: Fuzzy systems, Backstepping control method, Discrete-time systems, Adaptive control systems, Multiagent systems, Control theory (Engineering), Lyapunov stability
Abstract: This paper investigates the adaptive fuzzy command filtered backstepping consensus tracking control problem for discrete‐time nonlinear multiagent systems. The command filtered backstepping technique is developed to handle the causality contradiction problem and the filter errors can be removed by the error compensation mechanism. The fuzzy logic systems (FLSs) are used to approximate the uncertain dynamics of the agents. Moreover, the weighted Lyapunov functions are constructed to prove that all signals of the closed‐loop system are uniformly ultimately bounded (UUB). An example of vehicle system is presented to verify the viability of the proposed method. [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.)
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  Data: Adaptive fuzzy command filtered backstepping consensus tracking control for discrete‐time nonlinear multiagent systems.
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  Data: <searchLink fieldCode="AR" term="%22Sun%2C+Aoyu%22">Sun, Aoyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Lin%22">Zhao, Lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhaolin1585@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. May2026, Vol. 28 Issue 3, p1235-1244. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Backstepping+control+method%22">Backstepping control method</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete-time+systems%22">Discrete-time systems</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Lyapunov+stability%22">Lyapunov stability</searchLink>
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  Label: Abstract
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  Data: This paper investigates the adaptive fuzzy command filtered backstepping consensus tracking control problem for discrete‐time nonlinear multiagent systems. The command filtered backstepping technique is developed to handle the causality contradiction problem and the filter errors can be removed by the error compensation mechanism. The fuzzy logic systems (FLSs) are used to approximate the uncertain dynamics of the agents. Moreover, the weighted Lyapunov functions are constructed to prove that all signals of the closed‐loop system are uniformly ultimately bounded (UUB). An example of vehicle system is presented to verify the viability of the proposed method. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1002/asjc.3721
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1235
    Subjects:
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Backstepping control method
        Type: general
      – SubjectFull: Discrete-time systems
        Type: general
      – SubjectFull: Adaptive control systems
        Type: general
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: Control theory (Engineering)
        Type: general
      – SubjectFull: Lyapunov stability
        Type: general
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      – TitleFull: Adaptive fuzzy command filtered backstepping consensus tracking control for discrete‐time nonlinear multiagent systems.
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            NameFull: Sun, Aoyu
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            NameFull: Zhao, Lin
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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              Value: 3
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            – TitleFull: Asian Journal of Control
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