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ORCIDLong Xu 0005
Person information
- affiliation: Harbin University of Science and Technology, Department of Applied Mathematics, Harbin, China
- affiliation (PhD 2019): Harbin Institute of Technology, Control and Simulation Center, Harbin, China
- affiliation (until 2015): Harbin University of Science and Technology, Harbin, China
- affiliation (until 2011): Harbin University, China
Other persons with the same name
- Long Xu — disambiguation page
- Long Xu 0001
![[0000-0002-9286-2876]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9286-2876")
— Ningbo University, School of Information Science and Engineering, Ningbo, China (and 4 more) - Long Xu 0002 — Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Long Xu 0003 — Southeast University, School of Automation, Key Laboratory of Measurement and Control of CSE, Nanjing, China (and 1 more)
- Long Xu 0004 — Delft University of Technology, Department of Microelectronics, Delft, The Netherlands
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2020 – today
- 2024
[j5]Long Xu, Changcheng Shi, Hui Yu, Ling Hou:
Fusion estimation for state-saturated multi-rate systems with integral measurement and sensor resolution. J. Frankl. Inst. 361(18): 107281 (2024)
2010 – 2019
- 2019
- [j4]Kemao Ma, Long Xu, Hongxia Fan:
Hybrid Kalman Filtering Algorithm With Stochastic Nonlinearities and Multiple Missing Measurements. IEEE Access 7: 84717-84726 (2019) - 2018
- [j3]Long Xu, Kemao Ma, Wenshuo Li, Yurong Liu, Fuad E. Alsaadi:
Particle filtering for networked nonlinear systems subject to random one-step sensor delay and missing measurements. Neurocomputing 275: 2162-2169 (2018) - 2016
- [j2]Dongyan Chen, Long Xu, Junhua Du:
Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements. Commun. Nonlinear Sci. Numer. Simul. 32: 211-224 (2016) - [j1]Junhua Du, Long Xu, Yurong Liu, Yue Song, Xuelin Fan:
Linear optimal filtering for time-delay networked systems subject to missing measurements with individual occurrence probability. Neurocomputing 214: 767-774 (2016)
Coauthor Index
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