Daotong Zhang
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.
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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
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Journals
Year Citation 2025 Zhang, D., Shi, P., Lim, C. P., & Rudas, I. (2025). Resilient Tracking Control of Cyber-Physical Systems against False Data Injection Attacks and Obstacle Avoidance. IEEE Transactions on Automation Science and Engineering, 22, 1.
2024 Fei, Y., Zhang, D., Sun, Y., & Shi, P. (2024). Dynamically Triggered Estimator-Based Controller and Its Application on an Omnidirectional Robot. IEEE Transactions on Automation Science and Engineering, 21(3), 1-12.
Scopus32024 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.
Scopus52024 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, 18(2), 1248-1256.
Scopus3 Europe PMC12024 Zhang, D., Shi, P., & Chambers, J. (2024). Synchronization control of cyber-physical systems with time-varying dynamics under denial-of-service attacks. Journal of the Franklin Institute, 361(17), 107243-1-107243-10.
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Conference Papers
Year Citation 2024 Yan, B., Shi, P., Zhang, D., & Yang, Y. (2024). Data-Driven Safe Formation Control for Multi-Agent Systems and Its Applications in Multi-UGV Systems. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2844-2849). Online: IEEE.
DOI
2022 Semester 1 Electronic Systems Workshop Demonstrator
2022 Semester 2 Real-time Embedded Systems Tutor and Practical Demonstrator
2023 Semester 1 Electronic Systems Workshop Demonstrator
2023 Semester 2 Real-time Embedded Systems Tutor and Practical Demonstrator
2024 Semester 1 Electronic Systems Workshop Demonstrator
2024 Semester 2 Real-time Embedded Systems Practical Demonstrator; Digital Electronics Workshop Demonstrator
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