Research output per year
Research output per year
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Dive into the research topics where Yuezu Lv is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Bi-level Deep Reinforcement Learning Framework for Task Allocation with Tight Constraints in Heterogeneous Multi-Agent Systems
Hu, J., Peng, X., Lv, Y. & Zheng, S., 2026, (Accepted/In press) In: IEEE Transactions on Vehicular Technology.Research output: Contribution to journal › Article › peer-review
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DEM-driven flexible breakable weed-soil multiphase coupling model: Optimizing maize weeding performance for shield-cutting end-effector
Li, Y., Qu, Y., Yang, J. & Lv, Y., Aug 2026, In: Smart Agricultural Technology. 14, 101958.Research output: Contribution to journal › Article › peer-review
Open Access -
Distributed filtering with stochastically triggered communication
Liang, D., Ren, Y., Lv, Y. & Wang, S., Jan 2026, In: Automatica. 183, 112665.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Distributed Nash equilibrium computation in multi-group resource allocation games over digraphs
Zhou, J., Wen, G., Lv, Y., Yi, X., Yang, T. & Johansson, K. H., Mar 2026, In: Automatica. 185, 112816.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Distributed Prescribed-Time Unknown Input Observer for LTI Systems With Event-Triggered Communication
Bao, Y., Zhao, D., Lv, Y. & Wen, G., 1 Apr 2026, In: IEEE Transactions on Industrial Informatics. 22, 4, p. 3459-3470 12 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus)