Mr Ayad Al-Mahturi

School of Engineering and Information Technology
a.al-mahturi@student.adfa.edu.au
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LOCATION

Building 17, R 131A)
School of Engineering and Information Technology, The University of New South Wales, Canberra ACT 2610, Australia.

  • ABOUT
  • PUBLICATIONS

Ayad Al-Mahturi has received a B.Eng degree in Mechatronics Engineering from IIUM, Malaysia, in 2015 and a Master's degree in Electrical Engineering (Mechatronics and Automatic Control) from the University of Technology, Malaysia in 2017. Currently, he is working towards his Ph.D. degree at the University of New South Wales, Australia. His research interest includes Type-2 fuzzy control, Neural Network, modeling, and controlling dynamic systems.

 

Ayad is a member of the Trusted Autonomy research group within the School of Engineering and Information Technology, UNSW Canberra. Ayad is currently the IEEE student representative of UNSW, Canberra. 

Ayad is also a member of the higher degree research s minor-latin;mso-ansi-language:EN-AU;mso-fareast-language:EN-US;mso-bidi-language:
AR-SA" xml:lang="EN-AU">tudent liaison committee at UNSW Canberra.

Ayad is the Study Canberra Student Ambassador for 2020. 

His research interest includes: 

- Fuzzy systems. 

-Machine Learning.  

-Adaptive and evolving control of nonlinear systems. 

- Unmanned Aerial Vehicles (UAVs). 

- Neural Networks. 

 

 

Journal articles

Al-Mahturi AA, 2017, 'Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System', International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering

Conference Papers

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2020, 'A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties', in IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), IEEE, Italy, presented at IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), Italy, http://dx.doi.org/10.1109/EAIS48028.2020.9122771

Al-Mahturi A; Santoso F; Garratt M; Anavatti S; Ferdaus MM, 2019, 'Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data', IEEE, China, presented at IEEE Symposium Series on Computational Intelligence, China, 06 September 2019 - 09 September 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9003012

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2019, 'A Robust Adaptive Interval Type-2 Fuzzy Control for Autonomous Underwater Vehicles', IEEE, Bali, Indonesia, presented at IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 01 July 2019 - 03 July 2019, http://dx.doi.org/10.1109/ICIAICT.2019.8784855

Al-Mahturi A; Santoso F; Garratt M; Anavatti SG, 2019, 'An Intelligent Control of an Inverted Pendulum Based on Adaptive Interval Type-2 Fuzzy Inference System', IEEEE, New Orleans, Louisiana, USA, presented at IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans, Louisiana, USA, 23 June 2019 - 26 June 2019, http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858948

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2018, 'Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic', in 2018 Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 236 - 241, presented at IEEE Symposium Series on Computational Intelligence, Bangalore, India, 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628836

Theses / Dissertations

Al-Mahturi A, 2017, Optimal Control for Two Rotor Aero-Dynamical System (TRAS) Using Linear Quadratic Regulator