Zhi Lian

Zhi Lian

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".

  • Journals
    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 Scopus12 WoS28
    2022 Lian, Z., Shi, P., & Lim, C. C. (2022). Adaptive Resilient Control for Cyber-Physical Systems under Cyberattack and Input Saturation. IEEE Transactions on Industrial Informatics, 19(5), 6513-6524.
    DOI Scopus1
    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 Scopus4 WoS6
    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 Scopus28 WoS25
    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 WoS3
    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 Scopus27 WoS25
    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 Scopus2 WoS2
    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 Scopus8 WoS13
    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 Scopus84 WoS70
    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 Scopus75 WoS74
    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 Scopus51 WoS47
    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 Scopus48 WoS41

  • Conference Papers
    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.
    DOI
    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.
    DOI Scopus2
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