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Sampled‐data enhanced extended state observer‐based dynamic event‐triggered tracking control for perturbed networked systems.

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Title: Sampled‐data enhanced extended state observer‐based dynamic event‐triggered tracking control for perturbed networked systems.
Authors: Qin, Bo1 (AUTHOR), Yan, Huaicheng1,2 (AUTHOR) hcyan@ecust.edu.cn, Shi, Yifan1 (AUTHOR), Chang, Yufang3 (AUTHOR), Zhang, Youmin4 (AUTHOR)
Source: Asian Journal of Control. May2025, Vol. 27 Issue 3, p1268-1281. 14p.
Subjects: Tracking control systems, Signal sampling, Energy consumption, Computer simulation
Abstract: This paper aims for precise tracking with disturbance rejection and low energy consumption. An event‐triggered controller based on a sampled‐data enhanced extended state observer (SD‐EESO) is designed for a networked tracking system. In this method, the measured output and the given signal are sampled and transmitted to an observer, which is designed to periodically estimate the negative disturbance and tracking errors. Furthermore, a dynamic event‐triggered state feedback–feedforward controller is developed. It is shown that as long as the sampling period satisfies the given condition, the estimation error and the tracking error are both globally bounded stable. The numerical simulation and the direct current (DC) brush motor position control example show the superiority of the designed control scheme. [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: Sampled‐data enhanced extended state observer‐based dynamic event‐triggered tracking control for perturbed networked systems.
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. May2025, Vol. 27 Issue 3, p1268-1281. 14p.
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  Label: Abstract
  Group: Ab
  Data: This paper aims for precise tracking with disturbance rejection and low energy consumption. An event‐triggered controller based on a sampled‐data enhanced extended state observer (SD‐EESO) is designed for a networked tracking system. In this method, the measured output and the given signal are sampled and transmitted to an observer, which is designed to periodically estimate the negative disturbance and tracking errors. Furthermore, a dynamic event‐triggered state feedback–feedforward controller is developed. It is shown that as long as the sampling period satisfies the given condition, the estimation error and the tracking error are both globally bounded stable. The numerical simulation and the direct current (DC) brush motor position control example show the superiority of the designed control scheme. [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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        Value: 10.1002/asjc.3666
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      – Code: eng
        Text: English
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        PageCount: 14
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      – SubjectFull: Tracking control systems
        Type: general
      – SubjectFull: Signal sampling
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Computer simulation
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            NameFull: Qin, Bo
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 27
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