A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors
In this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting...
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| Format: | Article |
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MDPI AG
2024-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/6/1967 |
| _version_ | 1797239324040757248 |
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| author | Li Zhu Cong Huang Quan Shi Ruifeng Gao Peng Ping |
| author_facet | Li Zhu Cong Huang Quan Shi Ruifeng Gao Peng Ping |
| author_sort | Li Zhu |
| collection | DOAJ |
| description | In this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting measurements to the estimator. The occurrence probability of measurement loss is computed at each instant according to the probability distribution of the energy harvesting mechanism. The main objective of the addressed problem is to construct a joint state and fault estimator where the estimation error covariance is ensured in some certain sense and the estimator gain is determined to accommodate energy harvesting sensors, state saturation, as well as time delays. By virtue of a set of matrix difference equations, the derived upper bound is minimized by parameterizing the estimator gain. In addition, the performance evaluation of the designed joint estimator is conducted by analyzing the boundedness of the estimation error in the mean-squared sense. Finally, two experimental examples are employed to illustrate the feasibility of the proposed estimation scheme. |
| first_indexed | 2024-04-24T17:49:43Z |
| format | Article |
| id | doaj.art-ab292f24e7a9479a85015d1b21f8c1ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T17:49:43Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ab292f24e7a9479a85015d1b21f8c1ba2024-03-27T14:04:16ZengMDPI AGSensors1424-82202024-03-01246196710.3390/s24061967A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting SensorsLi Zhu0Cong Huang1Quan Shi2Ruifeng Gao3Peng Ping4School of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaIn this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting measurements to the estimator. The occurrence probability of measurement loss is computed at each instant according to the probability distribution of the energy harvesting mechanism. The main objective of the addressed problem is to construct a joint state and fault estimator where the estimation error covariance is ensured in some certain sense and the estimator gain is determined to accommodate energy harvesting sensors, state saturation, as well as time delays. By virtue of a set of matrix difference equations, the derived upper bound is minimized by parameterizing the estimator gain. In addition, the performance evaluation of the designed joint estimator is conducted by analyzing the boundedness of the estimation error in the mean-squared sense. Finally, two experimental examples are employed to illustrate the feasibility of the proposed estimation scheme.https://www.mdpi.com/1424-8220/24/6/1967energy harvesting sensorsstate and fault estimationstate saturationstime-delayed nonlinear systemsparameter uncertainties |
| spellingShingle | Li Zhu Cong Huang Quan Shi Ruifeng Gao Peng Ping A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors Sensors energy harvesting sensors state and fault estimation state saturations time-delayed nonlinear systems parameter uncertainties |
| title | A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors |
| title_full | A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors |
| title_fullStr | A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors |
| title_full_unstemmed | A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors |
| title_short | A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors |
| title_sort | joint state and fault estimation scheme for state saturated system with energy harvesting sensors |
| topic | energy harvesting sensors state and fault estimation state saturations time-delayed nonlinear systems parameter uncertainties |
| url | https://www.mdpi.com/1424-8220/24/6/1967 |
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