Dr Vu Tran

School of Engineering and Information Technology


Autonomous System Laboratory (Building 17, R 131)
School of Engineering and Information Technology, The University of New South Wales, Canberra ACT 2610, AUSTRALIA.


Dr Vu Phi Tran received the B.E. degree in Automation and Control Engineering from the HCMC University of Technology and Education, Saigon, Vietnam, in 2010, the M.S. degree in Mechatronics Engineering from Asian Institute of Technology, Bangkok, Thailand, in 2015, and a Ph.D. in the field of aerospace engineering from the University of New South Wales, Canberra, Australia, in 2019. From 2010 to 2012, he was a Lecturer in the Department of Automation and Control Engineering, HCMC University of Technology and Education, Saigon, Vietnam. Since 2020, he has been a Research Assistant, a Teaching Staff, and a Casual Professional staff at the University of New South Wales, Canberra, Australia.

Vu is a member of the Trusted Autonomy research group within the School of Engineering and Information Technology, UNSW Canberra. Vu publishes in high-impact IEEE Transactions journals (e.g. IEEE/ASME Trans on Mechatronics, Industrial Informatics, and Industrial Electronics) and Elsevier journals  (e.g. Practice Control Engineering). 

Vu has been a reviewer for numerous high-impact control and robotics journals (e.g. IEEE Trans. on Vehicular Technology and IEEE Trans. on Mans, Systems, and Cybernetics: Systems); in addition to many international conferences.

His current research interests include:

  •      Adaptive and robust control
  •      Non-linear control systems
  •      Consensus and formation control
  •      Neural networks
  •      Fuzzy systems
  •      UAV systems and robotics. 

Projects he is currently undertaking and looking to continue to include:

  • Machine Learning or Deep Learning to generate the desired formation as well as avoid the unexpected obstacles for a group of robots.
  • Auto flight control systems, robust and fast recovery against multiple disturbances.
  • Anti-disturbance controllers.


Journal articles

Tran VP; Garratt M; Petersen IR, 2020, 'Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory', Control Engineering Practice, vol. 95, http://dx.doi.org/10.1016/j.conengprac.2019.104245

Tran PV; Santoso F; Garratt M; Petersen I, 2019, 'Adaptive Second Order Strictly Negative Imaginary Controllers Based on the Interval Type-2 Fuzzy Self-Tuning Systems For a Hovering Quadrotor with Uncertainties', IEEE/ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2941525

Tran VP; Garratt M; Petersen IR, 'Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments', , http://arxiv.org/abs/1811.06196v1

Tran VP; Garratt M; Petersen IR, 'Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory', , http://arxiv.org/abs/1811.06206v1

Conference Papers

Tran VP; Garratt M; Petersen IR, 2018, 'Formation control of multi-UAVs using negative-imaginary systems theory', in 2017 Asian Control Conference, ASCC 2017, pp. 2031 - 2036, http://dx.doi.org/10.1109/ASCC.2017.8287487

Nguyen T; Nguyen H; Garratt M; Tran P; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at Fifth AAAI Fall Symposium Series on Artificial Intelligence for Human-Robot Interaction, Stanford USA, - , https://aaai.org/Library/Symposia/symposia-library.php