School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Zhi Lian is a current Postdoctoral Research Fellow in the School of Electrical and Mechanical Engineering.
Her current research interests include fuzzy systems, robust control, cyber-physical systems, and autonomous vehicles.
In 2022, Zhi was awarded the "Dean’s Commendation for Doctoral Thesis Excellence" and "The University Doctoral Research Medal" for her Ph.D. Thesis entitled "Security Issues for Cyber-Physical Systems".
Date Position Institution name 2022 - ongoing Postdoctoral research fellow University of Adelaide
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review
Date Institution name Country Title 2019 - 2022 University of Adelaide Australia PhD 2017 - 2023 China University of Geosciences (Wuhan) China PhD 2011 - 2015 China University of Geosciences (Wuhan) China B. Sc
Year Citation 2023 Lian, Z., Shi, P., Lim, C. C., & Yuan, X. (2023). Fuzzy-model-based lateral control for networked autonomous vehicle systems under hybrid cyber-attacks. IEEE Transactions on Cybernetics, 53(4), 2600-2609.
DOI Scopus29 WoS44 Europe PMC1
2023 Lian, Z., Shi, P., & Lim, C. C. (2023). Adaptive resilient control for cyber-physical systems under cyber-attack and input saturation. IEEE Transactions on Industrial Informatics, 19(5), 6513-6524.
DOI Scopus2 WoS3
2022 Lian, Z., Shi, P., & Lim, C. C. (2022). Dynamic hybrid-triggered-based fuzzy control for nonlinear networks under multiple cyber-attacks. IEEE Transactions on Fuzzy Systems, 30(9), 3940-3951.
DOI Scopus11 WoS12
2021 Lian, Z., Shi, P., & Lim, C. C. (2021). Hybrid-triggered interval type-2 fuzzy control for networked systems under attacks. Information Sciences, 567, 332-347.
DOI Scopus41 WoS36
2021 Cheng, Y., Xu, B., Lian, Z., Shi, Z., & Shi, P. (2021). Adaptive Learning Control of Switched Strict-Feedback Nonlinear Systems With Dead Zone Using NN and DOB. IEEE Transactions on Neural Networks and Learning Systems, 34(5), 1-10.
DOI Scopus3 WoS4
2021 Lian, Z., He, Y., & Wu, M. (2021). Stability and stabilization for delayed fuzzy systems via reciprocally convex matrix inequality. Fuzzy Sets and Systems, 402, 124-141.
DOI Scopus35 WoS29
2020 Lian, Z., Shi, P., & Sun, Y. (2020). Design on nonfragile fuzzy filter for nonlinear time-delay systems. International Journal of Adaptive Control and Signal Processing, 34(2), 248-265.
DOI Scopus3 WoS3
2020 Lian, Z., He, Y., Shi, P., & Wu, M. (2020). A new filter design for a class of fuzzy systems with time delays. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 51(10), 11 pages.
DOI Scopus10 WoS15
2019 Lian, Z., He, Y., Zhang, C. K., Shi, P., & Wu, M. (2019). Robust H∞ Control for T-S Fuzzy Systems with State and Input Time-Varying Delays via Delay-Product-Type Functional Method. IEEE Transactions on Fuzzy Systems, 27(10), 1917-1930.
DOI Scopus98 WoS79
2019 Lian, Z., He, Y., Zhang, C., & Wu, M. (2019). Stability and Stabilization of T-S Fuzzy Systems With Time-Varying Delays via Delay-Product-Type Functional Method. IEEE Transactions on Cybernetics, 50(6), 2580-2589.
DOI Scopus86 WoS78
2017 Lian, Z., He, Y., Zhang, C. -K., & Wu, M. (2017). Further robust stability analysis for uncertain Takagi–Sugeno fuzzy systems with time-varying delay via relaxed integral inequality. Information Sciences, 409-410, 139-150.
DOI Scopus54 WoS48
2016 Lian, Z., He, Y., Zhang, C. K., & Wu, M. (2016). Stability analysis for T-S fuzzy systems with time-varying delay via free-matrix-based integral inequality. International Journal of Control, Automation and Systems, 14(1), 21-28.
DOI Scopus50 WoS42
Year Citation 2019 Lian, Z., He, Y., Zhang, C., Shi, P., & Wu, M. (2019). Enhanced State Feedback Control of T-S Fuzzy Systems with Time-delays. In Proceedings of the IEEE Conference on Decision and Control Vol. 2019-December (pp. 3309-3315). online: IEEE.
2017 Lian, Z., He, Y., Zhang, C., & Wu, M. (2017). Improved stabilization conditions for T-S fuzzy systems with interval time-varying delay. In 2017 36th Chinese Control Conference (pp. 384-389). Dalian, China: IEEE Xplore.
DOI Scopus5 WoS3
2016 Lian, Z., He, Y., Zhang, C., & Wu, M. (2016). Further improved stability criterion for Takagi-Sugeno fuzzy systems with time-varying delay. In J. Chen, & Q. Zhao (Eds.), Chinese Control Conference, CCC Vol. 2016-August (pp. 1518-1522). Chengdu, PEOPLES R CHINA: IEEE.
Connect With Me