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Liu, Yutong

Time of publication:2022-03-29   Number of views:


Liu, Yutong, Assistant Research Fellow of Chongqing University, China


She received her Ph.D. degree in control science and engineering from the University of Adelaide, South Australia, Australia, in 2020. She is currently the Assistant Research Fellow of the School of Automation, Chongqing University, Chongqing, China.

She has made original contributions in formation control of multi-agent systems, which can be assessed by her publications in prestigious international journals, including IEEE SMCA, IEEE TCAS I and etc...


Contact Information

Email: yutong.liu@cqu.edu.cn

Address: Shazheng Street174#, Shapingba District,Chongqing, 400044,China


Education

Ph.D., (E.E.), University of Adelaide, South Australia, Australia, 2020.

M.S., (E.E.), Northwestern Polytechnical University, Xi’an, P.R. China, 2015.

B.S., (E.E.), Northwestern Polytechnical University, Xi’an, P.R. China, 2012.


Research Interests

Formation control

Adaptive Control

Reconfiguration Strategy


Referred Journal Papers(selected)

[1] Yutong Liu, Peng Shi, Hongjun Yu, Cheng-Chew Lim. Event-triggered probability-driven adaptive formation control for multiple elliptical agents. IEEE Transactions on Systems, Man, and Cybernetics: Systems: DOI: 10.1109/TSMC.2020.3026029.

[2] Yutong Liu, Peng Shi, Cheng-Chew Lim, Hongjun Yu. A New Approach of Formation Control for Multi-Agent Systems with Environmental Changes. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(8): 3449-3459, 2021.

[3] Yutong Liu, Peng Shi, Cheng-Chew Lim. Collision-free formation control for multi-agent systems with dynamic mapping. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(10):1984-1988, 2020.

[4] Yutong Liu, Hongjun Yu, Peng Shi, Cheng-Chew Lim. Formation control and collision avoidance for a class of multi-agent systems. Journal of the Franklin Institute, 356(10):5395-5420, 2019.

[5] Hongjun Yu, Yutong Liu, Lihua Liang. Stochastic control and time scheduling for irregular robots. Journal of the Franklin Institute, 358(7):3678-3700, 2021.