Dr Phi Tran

Dr Phi Tran

Research Associate
UNSW Canberra
School of Eng & Tech

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, IFAC Journal of systems and control). 

Vu has been a reviewer for numerous high-impact control and robotics journals (e.g. IEEE Trans. on Vehicular Technology, IEEE Trans. on Robotics, 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.

 

Location
Autonomous System Laboratory (Building 17, R 131) School of Engineering and Information Technology, The University of New South Wales, Canberra ACT 2610, AUSTRALIA.
  • Book Chapters | 2022
    Abpeikar S; Kasmarik K; Tran PV; Garratt M; Anavatti S; Khan M, 2022, 'Chapter 8 Tuning swarm behavior for environmental sensing tasks represented as coverage problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0
    Book Chapters | 2021
    2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in , http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0
    Book Chapters | 2020
    Tran V; Santoso F; Garratt M, 2020, 'A Fuzzy Logic-Based Adaptive Strictly Negative-Imaginary Formation Controller for Multi-Quadrotor Systems', in Qian D (ed.), A Closer Look at Formation Control, Nova Science Publisher, New York, USA, https://novapublishers.com/shop/a-closer-look-at-formation-control/
  • Journal articles | 2024
    Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2024, 'Robust Adaptive Fuzzy Control for Second-Order Euler–Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2024.3365554
    Journal articles | 2023
    Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2023, 'Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems', IEEE Transactions on Cybernetics, 53, pp. 5108 - 5120, http://dx.doi.org/10.1109/TCYB.2022.3175366
    Journal articles | 2023
    Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 12506 - 12522, http://dx.doi.org/10.1109/TITS.2023.3285624
    Journal articles | 2023
    2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', , http://dx.doi.org/10.1109/jas.2023.123087
    Journal articles | 2023
    2023, 'Multi-gas source localization and mapping by flocking robots', , http://dx.doi.org/10.1016/j.inffus.2022.11.001
    Journal articles | 2022
    2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', , http://dx.doi.org/10.1016/j.swevo.2022.101171
    Journal articles | 2021
    Tran VP; Mabrok MA; Garratt MA; Petersen IR, 2021, 'Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor', IFAC Journal of Systems and Control, 16, http://dx.doi.org/10.1016/j.ifacsc.2021.100156
    Journal articles | 2021
    Tran VP; Santoso F; Garratt MA; Petersen IR, 2021, 'Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics', IEEE/ASME Transactions on Mechatronics, 26, pp. 2306 - 2315, http://dx.doi.org/10.1109/TMECH.2020.3036829
    Journal articles | 2021
    Tran VP; Santoso F; Garratt MA, 2021, 'Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers', IEEE Transactions on Aerospace and Electronic Systems, 57, pp. 1742 - 1752, http://dx.doi.org/10.1109/TAES.2020.3048778
    Journal articles | 2021
    2021, 'Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory', , http://dx.doi.org/10.1016/j.ifacsc.2020.100117
    Journal articles | 2020
    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, 95, pp. 104245, http://dx.doi.org/10.1016/j.conengprac.2019.104245
    Journal articles | 2020
    Tran VP; Garratt MA; Petersen IR, 2020, 'Switching formation strategy with the directed dynamic topology for collision avoidance of a multi-robot system in uncertain environments', IET Control Theory and Applications, 14, pp. 2948 - 2959, http://dx.doi.org/10.1049/iet-cta.2020.0502
    Journal articles | 2020
    Tran VP; Santoso F; Garratt M; Anavatti S, 2020, 'Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controller for Unmanned Aerial Vehicles in Time-Varying Environments', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2020.3004600
    Journal articles | 2020
    Tran VP; Santoso F; Garratt M; Anavatti S, 2020, 'Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload with Minimum Swing', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/TIE.2020.3026302
    Journal articles | 2020
    Tran VP; Santoso F; Garratt M; Petersen IR, 2020, 'Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/tie.2020.2988219
    Journal articles | 2019
    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
    Journal articles | 2018
    Tran VP; Garratt M; Petersen IR, 2018, 'Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments', , http://arxiv.org/abs/1811.06196v1
    Journal articles | 2018
    Tran VP; Garratt M; Petersen IR, 2018, 'Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory', Control Engineering Practice, 95, pp. 2020, http://dx.doi.org/10.1016/j.conengprac.2019.104245
  • Preprints | 2023
    Perera A; Tran VP; Anavatti S; Kasmarik K; Garratt M, 2023, Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles, , http://dx.doi.org/10.48550/arxiv.2312.03493
    Preprints | 2023
    Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti S, 2023, Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles, , http://arxiv.org/abs/2306.04083v1
    Conference Papers | 2022
    Mabrok MA; Tran VP; Petersen IR; Garratt MA, 2022, 'Robust adaptive learning control for different classes of dissipative vehicle systems', in 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, http://dx.doi.org/10.1109/VPPC55846.2022.10003416
    Conference Papers | 2022
    Nguyen BM; Hara S; Tran VP, 2022, 'A Multi-Agent Approach to Landing Speed Control with Angular Rate Stabilization for Multirotors', in 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, http://dx.doi.org/10.1109/VPPC55846.2022.10003396
    Preprints | 2022
    Tran VP; Mabrok MA; Anavatti SG; Garratt MA; Petersen IR, 2022, Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems, , http://arxiv.org/abs/2203.13959v1
    Conference Posters | 2022
    2022, 'Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs', http://dx.doi.org/10.1007/978-3-030-97546-3_43
    Preprints | 2021
    Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2021, Frontier-led Swarming: Robust Multi-Robot Coverage of Unknown Environments, , http://arxiv.org/abs/2111.14295v2
    Preprints | 2020
    Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, , http://dx.doi.org/10.48550/arxiv.2004.11543
    Preprints | 2018
    Nguyen H; Tran V; Nguyen T; Garratt M; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, , http://dx.doi.org/10.48550/arxiv.1810.04344
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Preprints | 2018
    Tran VP; Garratt M; Petersen IR, 2018, Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments, , http://dx.doi.org/10.48550/arxiv.1811.06196
    Preprints | 2018
    Tran VP; Garratt M; Petersen IR, 2018, Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory, , http://dx.doi.org/10.48550/arxiv.1811.06206

- DST project at the University of New South Wales, Canberra.

- AFOSR project at the University of New South Wales, Canberra.

- Rockwell Automation Scholarship for “Keeping with Rockwell’s Philosophy of Maintaining the Highest Standards of Quality, Service and Engineering Excellence”.

- “THE HISAMATSU PRIZE” in recognition of the most outstanding academic performance of Mechatronics, AIT, Thailand.

- “UNSW Tuition Fee Scholarship” from the University of New South Wales, Canberra, Australia for my study toward a Doctorate at UNSW Canberra campus.

- "Dean’s Award for Outstanding PhD Theses" from the University of New South Wales, Canberra, Australia for the top 10% of Ph.D. theses examined.

- "T.F.C Lawrence Prize" for the best performance by a graduating research student specializing in Aeronautical Science.