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Distributed State Estimation for Dynamic Positioning Systems with Uncertain Disturbances and Transmission Time Delays
Joint Authors
Liu, Li
Yao, Tao
Hu, Xin
Zhou, Chunjie
Hou, Dianli
Feng, Shulin
Yang, Hongyong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-20
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The dynamic positioning system of unmanned underwater vehicles (UUVs) is a complex and large-scale system mainly due to the nonlinear dynamics, uncertainty in model parameters, and external disturbances.
With the aid of the bio-inspired computing (BIC) method, the designed three-dimensional (3D) spatial positioning system is used for enlarging communication constraints and increasing signal coordination processing.
With the growing of measurement scales, the issue of the networked high-precision positioning has been developed rapidly.
Then, an information fusion estimation approach is presented for the distributed networked systems with data random transmission time delays and lost and disordered packets.
To reduce the communication burden, an adaptive signal selection scheme is employed to reorganize the measurement sequence, and the parameter uncertainties as well as cross-correlated noise are used to describe the uncertain disturbances.
Moreover, a reoptimal weighted fusion state estimation is designed to alleviate the information redundancy and maintain higher measurement accuracy.
An illustrative example obtained from the 3D spatial positioning system is given to validate the effectiveness of the proposed method.
American Psychological Association (APA)
Liu, Li& Yao, Tao& Hu, Xin& Zhou, Chunjie& Hou, Dianli& Feng, Shulin…[et al.]. 2020. Distributed State Estimation for Dynamic Positioning Systems with Uncertain Disturbances and Transmission Time Delays. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143904
Modern Language Association (MLA)
Liu, Li…[et al.]. Distributed State Estimation for Dynamic Positioning Systems with Uncertain Disturbances and Transmission Time Delays. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1143904
American Medical Association (AMA)
Liu, Li& Yao, Tao& Hu, Xin& Zhou, Chunjie& Hou, Dianli& Feng, Shulin…[et al.]. Distributed State Estimation for Dynamic Positioning Systems with Uncertain Disturbances and Transmission Time Delays. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143904