Daotong Zhang

Daotong Zhang

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology


Daotong Zhang is a current Doctor of Philosophy candidate in the School of Electrical and Electronic Engineering. 

His current research interests include the secure control of cyber-physical systems, model predictive control, event-triggered control and control applications.

  • Language Competencies

    Language Competency
    Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
    English Can read, write, speak, understand spoken and peer review
  • Education

    Date Institution name Country Title
    2021 - 2024 University of Adelaide Australia PhD Candidate
    2019 - 2021 University of Melbourne Australia Master of Engineering
    2015 - 2019 Beijing Institute of Technology China Bachelor of Engineering
  • Journals

    Year Citation
    2024 Lin, L., Lam, J., Meng, M., Xie, X., Li, P., Zhang, D., & Shi, P. (2024). STABILIZATION OF CONTINUOUS-TIME PROBABILISTIC LOGICAL NETWORKS UNDER SAMPLING DWELL TIME CONSTRAINTS. SIAM Journal on Control and Optimization, 62(2), 1006-1033.
    DOI
    2024 Zhang, D., Shi, P., Agarwal, R. K., & Kovacs, L. (2024). Reference Tracking MPC for Cyber-Physical Systems Under Denial-of-Service Attacks: An Omnidirectional Robot Application. IEEE Systems Journal, 9 pages.
    DOI
    2023 Fei, Y., Zhang, D., Sun, Y., & Shi, P. (2023). Dynamically Triggered Estimator-Based Controller and Its Application on an Omnidirectional Robot. IEEE Transactions on Automation Science and Engineering, 12 pages.
    DOI Scopus2
  • Conference Papers

    Year Citation
    2023 Yan, B., Shi, P., Zhang, D., & Yang, Y. (2023). Data-Driven Safe Formation Control for Multi-Agent Systems and Its Applications in Multi-UGV Systems. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (pp. 2844-2849). IEEE.
    DOI

2022 Semester 1 Electronic Systems Practical Demonstrator

2022 Semester 2 Real-time Embedded Systems Practical Demonstrator


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