Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops
This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs. The multi-sensor system consists of a fusion center and some sensor nodes with computational capabilitie...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/15/8778 |
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| author | Xiaolei Du Huabo Liu Haisheng Yu |
| author_facet | Xiaolei Du Huabo Liu Haisheng Yu |
| author_sort | Xiaolei Du |
| collection | DOAJ |
| description | This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs. The multi-sensor system consists of a fusion center and some sensor nodes with computational capabilities, between which there are random packet drops. The state augmentation method is utilized to transform a time-delay system into a non-time-delay one. The robust state estimation algorithm is derived based on the sensitivity penalty for each sensor node to reduce the impact of modelling errors, and modelling errors here are not limited to a unique form, which implies that the fusion estimator applies to a wide range of situations. An event-triggered transmission strategy has been adopted to effectively alleviate the communication burden from the sensor node to the fusion center. Moreover, the fusion estimator handles packet drops arising from unreliable channels, and the corresponding pseudo-cross-covariance matrix is provided. Some conditions are given to ensure that the estimation error of the robust fusion estimator is uniformly bounded. Two sets of numerical simulations are provided to illustrate the effectiveness of the derived fusion estimator. |
| first_indexed | 2024-03-11T00:31:29Z |
| format | Article |
| id | doaj.art-91817c226f594c98b47b91fb37f3a721 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:31:29Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-91817c226f594c98b47b91fb37f3a7212023-11-18T22:37:25ZengMDPI AGApplied Sciences2076-34172023-07-011315877810.3390/app13158778Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet DropsXiaolei Du0Huabo Liu1Haisheng Yu2School of Automation, Qingdao University, Qingdao 266071, ChinaSchool of Automation, Qingdao University, Qingdao 266071, ChinaSchool of Automation, Qingdao University, Qingdao 266071, ChinaThis paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs. The multi-sensor system consists of a fusion center and some sensor nodes with computational capabilities, between which there are random packet drops. The state augmentation method is utilized to transform a time-delay system into a non-time-delay one. The robust state estimation algorithm is derived based on the sensitivity penalty for each sensor node to reduce the impact of modelling errors, and modelling errors here are not limited to a unique form, which implies that the fusion estimator applies to a wide range of situations. An event-triggered transmission strategy has been adopted to effectively alleviate the communication burden from the sensor node to the fusion center. Moreover, the fusion estimator handles packet drops arising from unreliable channels, and the corresponding pseudo-cross-covariance matrix is provided. Some conditions are given to ensure that the estimation error of the robust fusion estimator is uniformly bounded. Two sets of numerical simulations are provided to illustrate the effectiveness of the derived fusion estimator.https://www.mdpi.com/2076-3417/13/15/8778multi-sensor systemsrobust fusion estimationevent-triggeredrandom packet dropsd-step state delaydeterministic control inputs |
| spellingShingle | Xiaolei Du Huabo Liu Haisheng Yu Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops Applied Sciences multi-sensor systems robust fusion estimation event-triggered random packet drops d-step state delay deterministic control inputs |
| title | Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops |
| title_full | Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops |
| title_fullStr | Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops |
| title_full_unstemmed | Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops |
| title_short | Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops |
| title_sort | event triggered robust fusion estimation for multi sensor time delay systems with packet drops |
| topic | multi-sensor systems robust fusion estimation event-triggered random packet drops d-step state delay deterministic control inputs |
| url | https://www.mdpi.com/2076-3417/13/15/8778 |
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