Dr Kamal Mammadov
Postdoctoral Research Fellow
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Kamal Mammmadov, Engineer/Mathematician Adelaide, Australia Higher Education
2023 - Present University of Adelaide, Post-doctoral Researcher (School of Computer Science)
2019 - 2022 University of Adelaide, Doctorate of Philosophy
2015 - 2017 University of Melbourne, Master of Engineering (Electrical)
2012 - 2014 University of Melbourne, Bachelor of Science
Research Interests:
Optimal Control, Robust Control and Differential Games
Previous:
BAE Systems
Lockheed Martin Australia
I am a post-doctoral researcher in the School of Computer and Mathematical Sciences. My main areas of research focus are:
1) Optimal and Robust Linear Control Systems
By developing parameterisation methods for the pole placement problem, we develop algorithms to compute a state-feedback matrix that achieves the desired closed-loop performance constraints with minimal control effort and maximum robustness.
2) Two-player zero-sum pursuit-evasion Differential Games
We apply the theory of two-player zero-sum differential games to aerospace engagement scenarios commonly found in defence applications. Here the optimal control laws for both teams are derived by finding the Nash equilibrium.
3) Intelligent Target Tracking using game-theoretic approaches
We study the problem of sensor management for target tracking by modelling the interaction between a mobile radar and an evasive jammer as a two-player zero-sum game.
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Appointments
Date Position Institution name 2023 - ongoing Postdoctoral Research Fellow University of Adelaide 2022 - 2023 Algorithms Engineer BAE Systems 2021 - 2021 Intern Lockheed Martin 2019 - 2022 PhD Research Contract University of Adelaide -
Education
Date Institution name Country Title 2019 - 2022 University of Adelaide Australia Doctor of Philosophy 2015 - 2017 University of Melbourne Australia Master of Engineering (Electrical) 2012 - 2014 University of Melbourne Australia Bachelor of Science -
Research Interests
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Journals
Year Citation 2024 Mammadov, K., Lim, C. C., & Shi, P. (2024). Unified optimality criteria for the Target–Attacker–Defender game. Journal of Control and Decision, 11(4), 1-18.
Scopus22023 Mammadov, K., Lim, C. -C., & Shi, P. (2023). The holographic principle for the differential game of active target defence.. Int. J. Control, 96, 2725-2736. 2022 Mammadov, K., Lim, C. -C., & Shi, P. (2022). A state-feedback Nash equilibrium for the general Target-Attacker-Defender differential game of degree in arbitrary dimensions.. Int. J. Control, 95, 93-103. 2022 Mammadov, K., Lim, C. C., & Shi, P. (2022). A state-feedback Nash equilibrium for the general Target-Attacker-Defender differential game of degree in arbitrary dimensions. International Journal of Control, 95(1), 92-103.
Scopus5 WoS22022 Mammadov, K., Lim, C. C., & Shi, P. (2022). The holographic principle for the differential game of active target defence. International Journal of Control, 96(11), 1-12.
Scopus12021 Mammadov, K. (2021). Pole placement parameterisation for full-state feedback with minimal dimensionality and range. International Journal of Control, 94(2), 382-389.
Scopus2 WoS22020 Mammadov, K., Lim, C. C., & Shi, P. (2020). State-Feedback Optimal Strategies for the Differential Game of Cooperative Target Defence: A Geometric Approach. International Journal of Control, 94(10), 2615-2622.
Scopus9 WoS3 -
Conference Papers
Year Citation 2022 Mammadov, K., Lim, C. C., & Shi, P. (2022). Generalising the capture the flag scenario to active target defence. In Proceedings of 2022 Australian & New Zealand Control Conference (ANZCC), ANZCC 2022 (pp. 120-125). IEEE Xplore digital library: IEEE.
DOI
Guest Lecturer, ELEC ENG 3107 Autonomous Systems, Semester 2, 2019.
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