Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication
This paper primarily investigates the extended state observer design issue for nonlinear Markov jump systems under limited communication bandwidth. In order to achieve reasonable network resource configurations while estimating the system states and total disturbances, a continuous-time dynamic even...
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2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10876136/ |
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| author | Pengcheng Zhang Shiyu Jiao Jun Chen Sangmoon Lee |
| author_facet | Pengcheng Zhang Shiyu Jiao Jun Chen Sangmoon Lee |
| author_sort | Pengcheng Zhang |
| collection | DOAJ |
| description | This paper primarily investigates the extended state observer design issue for nonlinear Markov jump systems under limited communication bandwidth. In order to achieve reasonable network resource configurations while estimating the system states and total disturbances, a continuous-time dynamic event-triggered strategy is incorporated into the observer design. Accordingly, the transmission of the measured output occurs only when the predefined conditions are satisfied. In contrast to the conventional static triggering strategy, the dynamic event-triggered mechanism enables adaptive threshold adjustment by introducing an internal dynamic variable. In addition, a carefully constructed intermediate variable is considered to indirectly obtain the estimate of the extended state. Then, combining Lyapunov method with stochastic analysis technique, it is proved that the estimation error is exponentially ultimately bounded in mean square under the proposal. At last, a case study of the mass-spring system with four operating modes is presented to illustrate the feasibility of the proposed design approach. |
| format | Article |
| id | doaj-art-4f93cc4e185f40ec8e1f82beb7e5e343 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4f93cc4e185f40ec8e1f82beb7e5e3432025-08-20T03:11:54ZengIEEEIEEE Access2169-35362025-01-0113266672667510.1109/ACCESS.2025.353958610876136Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered CommunicationPengcheng Zhang0https://orcid.org/0009-0001-6885-979XShiyu Jiao1Jun Chen2Sangmoon Lee3https://orcid.org/0000-0001-8252-952XSchool of Automation, Nanjing University of Science and Technology, Nanjing, ChinaFaculty of Automation, Huaiyin Institute of Technology, Huaian, ChinaSchool of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, ChinaSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South KoreaThis paper primarily investigates the extended state observer design issue for nonlinear Markov jump systems under limited communication bandwidth. In order to achieve reasonable network resource configurations while estimating the system states and total disturbances, a continuous-time dynamic event-triggered strategy is incorporated into the observer design. Accordingly, the transmission of the measured output occurs only when the predefined conditions are satisfied. In contrast to the conventional static triggering strategy, the dynamic event-triggered mechanism enables adaptive threshold adjustment by introducing an internal dynamic variable. In addition, a carefully constructed intermediate variable is considered to indirectly obtain the estimate of the extended state. Then, combining Lyapunov method with stochastic analysis technique, it is proved that the estimation error is exponentially ultimately bounded in mean square under the proposal. At last, a case study of the mass-spring system with four operating modes is presented to illustrate the feasibility of the proposed design approach.https://ieeexplore.ieee.org/document/10876136/Markov jump systemextended state observerintermediate variabledynamic event triggering |
| spellingShingle | Pengcheng Zhang Shiyu Jiao Jun Chen Sangmoon Lee Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication IEEE Access Markov jump system extended state observer intermediate variable dynamic event triggering |
| title | Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication |
| title_full | Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication |
| title_fullStr | Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication |
| title_full_unstemmed | Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication |
| title_short | Extended State Observer-Based Estimation for Nonlinear Markov Jump Systems With Dynamic Event-Triggered Communication |
| title_sort | extended state observer based estimation for nonlinear markov jump systems with dynamic event triggered communication |
| topic | Markov jump system extended state observer intermediate variable dynamic event triggering |
| url | https://ieeexplore.ieee.org/document/10876136/ |
| work_keys_str_mv | AT pengchengzhang extendedstateobserverbasedestimationfornonlinearmarkovjumpsystemswithdynamiceventtriggeredcommunication AT shiyujiao extendedstateobserverbasedestimationfornonlinearmarkovjumpsystemswithdynamiceventtriggeredcommunication AT junchen extendedstateobserverbasedestimationfornonlinearmarkovjumpsystemswithdynamiceventtriggeredcommunication AT sangmoonlee extendedstateobserverbasedestimationfornonlinearmarkovjumpsystemswithdynamiceventtriggeredcommunication |