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DC Field | Value | Language |
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dc.contributor.author | Li, JY | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Lu, R | - |
dc.contributor.author | Xu, Y | - |
dc.date.accessioned | 2021-07-26T13:27:21Z | - |
dc.date.available | 2021-07-26T13:27:21Z | - |
dc.date.issued | 2021-04-27 | - |
dc.identifier.citation | Li, J.Y. et al. (2021) 'Partial-Nodes-Based State Estimation for Complex Networks With Constrained Bit Rate', IEEE Transactions on Network Science and Engineering, 8 (2), pp. 1887 - 1899. doi: 10.1109/TNSE.2021.3076113. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22992 | - |
dc.description.abstract | In this paper, the partial-nodes-based (PNB) state estimation issue is investigated for a class of discrete-time complex networks with constrained bit rate and bounded noises. Measurements from only a fraction of nodes in a complex network are acquired and used for state estimation. The communication between sensor nodes and estimators is accomplished over a wireless digital communication network with limited bandwidth. A bit rate constraint model is introduced to reflect the bandwidth allocation rules of partially accessible nodes. A sufficient condition is proposed under which the PNB state estimation error system is guaranteed to be ultimately bounded, and then a bit rate condition assuring a specific estimation performance is presented. The estimator gains are derived by solving two optimization problems in order to ensure two estimation performance metrics (i.e. the smallest ultimate bound and the fastest decay rate). Furthermore, the co-design issue of the bit rate allocation protocol and the estimator gains is addressed by means of particle swarm optimization and linear matrix inequalities. Finally, three numerical simulations are provided to verify the validity of the proposed PNB state estimation approach. | en_US |
dc.description.sponsorship | Local Innovative and the Research Teams Project of Guangdong Special Support Program of China (Grant Number: 2019BT02X353); Innovative Research Team Program of Guangdong Province Science Foundation of China (Grant Number: 2018B030312006); 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2018YFB1700400); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61873148 and 61933007); Alexander von Humboldt Foundation of Germany. | en_US |
dc.format.extent | 1887 - 1899 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | Copyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Partial-nodes-based state estimation | en_US |
dc.subject | con-strained bit rate | en_US |
dc.subject | coding-decoding | en_US |
dc.subject | co-design problem | en_US |
dc.title | Partial-Nodes-Based State Estimation for Complex Networks with Constrained Bit Rate | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TNSE.2021.3076113 | - |
dc.relation.isPartOf | IEEE Transactions on Network Science and Engineering | - |
pubs.issue | 2 | - |
pubs.publication-status | Published | - |
pubs.volume | 8 | - |
dc.identifier.eissn | 2327-4697 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 732.59 kB | Adobe PDF | View/Open |
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