dblp: Di Lu 0013 (original) (raw)



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Person information
- affiliation: Henan Polytechnic University, School of Electrical Engineering and Automation, Jiaozuo, China
Other persons with the same name
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Di Lu — disambiguation page
Di Lu 0001
— Henan University of Technology, Key Laboratory of Grain Information Processing and Control, Zhengzhou, China (and 1 more)Di Lu 0002 — FXPAL, Palo Alto, CA, USA (and 1 more)
Di Lu 0003 — Dataminr, Inc. (and 1 more)
Di Lu 0004
— Xidian University, School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, ChinaDi Lu 0005
— Chinese University of Hong Kong, Electronic Engineering Department, Hong Kong (and 2 more)Di Lu 0006
— Northeastern University, College of Information Science and Engineering, Shenyang, ChinaDi Lu 0007
— Southern Medical University, Department of Thoracic Surgery, Guangzhou, China (and 1 more)Di Lu 0008 — University of Manchester, Institute of Science and Technology, School of Electrical and Electronics Engineering, UK (and 1 more)
Di Lu 0009 — Alcatel-Lucent Shanghai Bell, Research and Innovation Center, Shanghai, China
Di Lu 0010 — Northeast Petroleum University, School of Electrical and Information Engineering, Daqing, China
Di Lu 0011 — Shanghai Jiao Tong University, SJTU, School of Oceanography, State Key Laboratory of Ocean Engineering, China
Di Lu 0012 — Beijing Normal University, College of Information Science and Technology, China
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2020 – today
- 2026

[j3]

Wei Qian, Yuxi Bai, Di Lu, Yanmin Wu:
Dual-thresholds event-triggered-based H ∞ load frequency security control for networked power systems. Int. J. Syst. Sci. 57(5): 1459-1472 (2026)
- 2024

[j2]

Wei Qian, Di Lu, Yanmin Wu, Manman Yuan:
Stability analysis of delayed load frequency control system based on a novel augmented functional. Int. J. Syst. Sci. 55(13): 2677-2687 (2024)

[j1]

Wei Qian
, Di Lu
, Simeng Guo
, Yunji Zhao
:
Distributed State Estimation for Mixed Delays System Over Sensor Networks With Multichannel Random Attacks and Markov Switching Topology. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8623-8637 (2024)

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