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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 staffat the University of New South Wales, Canberra, Australia.

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

Vuhas 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 systemsand 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 obstaclesfor a group of robots.
  • Auto flight controlsystems, robust andfast 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,
    Book Chapters | 2021
    Abpeikar S; Kasmarik K; Tran P; Garratt M; Anavatti S; Khan M, 2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178,
    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, NY, USA
    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,
  • Journal articles | 2024
    Muthusamy PK; Tran VP; Garratt M; Annavati S; Pota H; Kok JM, 2024, 'Resilient Flight Control for a 32g Nano Helicopter', IEEE Transactions on Industrial Electronics,
    Journal articles | 2024
    Tran VP; Garratt MA; Anavatti SG; Ravi S, 2024, 'Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments', Swarm and Evolutionary Computation, 89,
    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, 54, pp. 5102 - 5114,
    Journal articles | 2024
    Tran VP; Perera AG; Garratt MA; Kasmarik K; Anavatti SG, 2024, 'Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings With Fixed One-Way Switching', Journal of Field Robotics,
    Journal articles | 2023
    Tran VP; Garratt MA; Kasmarik K; Anavatti SG; Leong AS; Zamani M, 2023, 'Multi-gas source localization and mapping by flocking robots', Information Fusion, 91, pp. 665 - 680,
    Journal articles | 2023
    Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2023, 'Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments', IEEE/CAA Journal of Automatica Sinica, 10, pp. 646 - 661,
    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,
    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,
    Journal articles | 2022
    Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171,
    Journal articles | 2021
    Tran VP; Garratt MA; Petersen IR, 2021, 'Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory', IFAC Journal of Systems and Control, 15, pp. 100117,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    Journal articles | 2018
    Tran VP; Garratt M; Petersen IR, 2018, 'Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments', ,
    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,
  • Conference Papers | 2024
    Santoso F; Garratt MA; Anavatti SG; Wang J; Tran PV; Ferdaus MM, 2024, 'Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties', in 2024 European Control Conference, ECC 2024, pp. 3777 - 3782,
    Preprints | 2024
    Tran VP; Perera AG; Garratt MA; Kasmarik K; Anavatti SG, 2024, Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching, ,
    Conference Papers | 2023
    Perera A; Kasmarik K; Anavatti S; Tran P; Garratt M, 2023, 'Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles', in Australasian Conference on Robotics and Automation, ACRA, Sydney Australia, presented at Australasian Conference on Robotics and Automation, Sydney Australia, 04 December 2023,
    Preprints | 2023
    Perera A; Tran VP; Anavatti S; Kasmarik K; Garratt M, 2023, Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles, ,
    Preprints | 2023
    Tran VP; Perera A; Garratt MA; Kasmarik K; Anavatti S, 2023, Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles,
    Conference Posters | 2022
    Abpeikar S; Kasmarik K; Tran P; Garratt M, (eds.), 2022, 'Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs', Sydney, Vol. 13151 LNAI, pp. 531 - 542, presented at Australian Joint Conference on Artificial Intelligence, Sydney, 02 February 2022 - 04 February 2022,
    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,
    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,
    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, ,
    Preprints | 2021
    Tran VP; Garratt MA; Kasmarik K; Anavatti SG, 2021, Frontier-led Swarming: Robust Multi-Robot Coverage of Unknown Environments, ,
    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, ,
    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, ,
    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, - ,
    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,
    Preprints | 2018
    Tran VP; Garratt M; Petersen IR, 2018, Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments, ,
    Preprints | 2018
    Tran VP; Garratt M; Petersen IR, 2018, Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory, ,

- 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.