Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance
This paper investigates the state estimation problem for nonlinear cyber–physical systems (CPSs). To conserve system resources, we propose a novel hybrid dynamic event-triggered mechanism (ETM) that prevents the occurrence of Zeno behavior. This work is based on designing an interval observer under...
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MDPI AG
2025-01-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/9/2/86 |
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| author | Hongrun Wu Jun Huang Yong Qin Yuan Sun |
| author_facet | Hongrun Wu Jun Huang Yong Qin Yuan Sun |
| author_sort | Hongrun Wu |
| collection | DOAJ |
| description | This paper investigates the state estimation problem for nonlinear cyber–physical systems (CPSs). To conserve system resources, we propose a novel hybrid dynamic event-triggered mechanism (ETM) that prevents the occurrence of Zeno behavior. This work is based on designing an interval observer under the hybrid dynamic ETM to solve the state reconstruction problem of Lipschitz nonlinear CPSs subject to disturbances. That is, the designed triggering mechanism is integrated into the design of the Interval Observer (IO), resulting in a hybrid dynamic event-triggered interval observer (HDETIO), and the system stability and robustness are proved using a Lyapunov function, demonstrating that the observer can effectively provide interval estimation for CPSs with nonlinearity and disturbances. Compared to existing work, the primary contribution of this work is its ability to pre-specify the minimum inter-event time (MIET) and apply it to interval state estimation, enhancing its practicality for real-world physical systems. Finally, the correctness and effectiveness of the designed hybrid dynamic ETM and IO framework are validated with an example. |
| format | Article |
| id | doaj-art-85aa778c49974f4e82fb4e0c43e2d124 |
| institution | DOAJ |
| issn | 2504-3110 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj-art-85aa778c49974f4e82fb4e0c43e2d1242025-08-20T03:12:08ZengMDPI AGFractal and Fractional2504-31102025-01-01928610.3390/fractalfract9020086Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with DisturbanceHongrun Wu0Jun Huang1Yong Qin2Yuan Sun3School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, ChinaSchool of Artificial Intelligence and Smart Manufacturing, Hechi University, Hechi 546300, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, ChinaThis paper investigates the state estimation problem for nonlinear cyber–physical systems (CPSs). To conserve system resources, we propose a novel hybrid dynamic event-triggered mechanism (ETM) that prevents the occurrence of Zeno behavior. This work is based on designing an interval observer under the hybrid dynamic ETM to solve the state reconstruction problem of Lipschitz nonlinear CPSs subject to disturbances. That is, the designed triggering mechanism is integrated into the design of the Interval Observer (IO), resulting in a hybrid dynamic event-triggered interval observer (HDETIO), and the system stability and robustness are proved using a Lyapunov function, demonstrating that the observer can effectively provide interval estimation for CPSs with nonlinearity and disturbances. Compared to existing work, the primary contribution of this work is its ability to pre-specify the minimum inter-event time (MIET) and apply it to interval state estimation, enhancing its practicality for real-world physical systems. Finally, the correctness and effectiveness of the designed hybrid dynamic ETM and IO framework are validated with an example.https://www.mdpi.com/2504-3110/9/2/86hybrid dynamic event-triggered mechanismcyber–physical systemsinterval state estimation |
| spellingShingle | Hongrun Wu Jun Huang Yong Qin Yuan Sun Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance Fractal and Fractional hybrid dynamic event-triggered mechanism cyber–physical systems interval state estimation |
| title | Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance |
| title_full | Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance |
| title_fullStr | Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance |
| title_full_unstemmed | Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance |
| title_short | Hybrid Dynamic Event-Triggered Interval Observer Design for Nonlinear Cyber–Physical Systems with Disturbance |
| title_sort | hybrid dynamic event triggered interval observer design for nonlinear cyber physical systems with disturbance |
| topic | hybrid dynamic event-triggered mechanism cyber–physical systems interval state estimation |
| url | https://www.mdpi.com/2504-3110/9/2/86 |
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