Asad Ullah Awan
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Asad Ullah Awan |
Bio and Research
Asad Ullah Awan received the B.E. degree in Mechatronics Engineering from the National University of Sciences and Technology, Pakistan (2008). He received his M.S. degree in Mechanical and Aerospace Engineering from the Seoul National University, South Korea (2013). He worked as a lecturer at the National University of Sciences and Technology, Pakistan, from 2013 till 2016. He is currently a PhD student in the HCS group at TUM (since May 2016). His research interests are control of large-scale interconnected systems, and control of hybrid systems.
Teaching
SS2016: Control Theory (TA)
WS2017: Analysis and Control of Nonlinear Systems (TA)
WS2017: Advanced Seminar on Cyber-physical Systems (Supervision). Topic: Vehicle Platooning
SS2018: Advanced Seminar on Cyber-physical Systems (Supervision). Topic: Formal Methods for Control of Traffic Flow
Journal Papers
A. U. Awan and M. Zamani. Formal synthesis of safety controllers for unknown systems using gaussian process transfer learning. IEEE Control Systems Letters, 7, pp. 3741-3746, 2023.
A. U. Awan and M. Zamani. Abstractions of networks of stochastic hybrid systems under randomly switched topologies: A compositional approach. System and Control Letters. DOI
A. U. Awan and M. Zamani. From dissipativity theory to compositional abstractions of interconnected stochastic hybrid systems. IEEE Transactions on Control of Network Systems, accepted. Available Online
A. U. Awan, J. Park, H. Jin Kim, J. Ryu, and M. Cho. Adaptive control of shape memory alloy actuator using neural network feedforward and robust integral of signum of error (RISE) feedback. International Journal of Precision Engineering and Manufacturing, Volume 17, Issue 4, pp 409–418, April 2016 PDF
Conference Papers
R. Wajid, A. U. Awan, and M .Zamani. Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning. The 4th Annual Learning for Dynamics & Control Conference, June 2023, pp. 624-636.
A. U. Awan, S. Coogan, and M. Zamani. Compositional abstraction for interconnected systems over Riemannian manifolds: A dissipativity approach. The 57th IEEE Conference on Decision and Control, December 2018. DOI
A. U. Awan M. Zamani. Compositional abstraction for interconnected systems over Riemannian manifolds: A small-gain approach. The 57th IEEE Conference on Decision and Control, December 2018. DOI
A. U. Awan and M. Zamani. Compositional abstractions of networks of stochastic hybrid systems under randomly switched topologies. American Control Conference, June 2018.
A. U. Awan and M. Zamani. Compositional abstraction of interconnected control systems under dynamic interconnection topology. The 56th IEEE Conference on Decision and Control/, December 2017.
A. U. Awan and M. Zamani. Compositional abstractions of networks of stochastic hybrid systems: A dissipativity approach. The 20th World Congress of the International Federation of Automatic Control (IFAC) 2017.
A. U. Awan and M. Zamani. On a notion of estimation entropy for stochastic hybrid systems. The 54th Annual Allerton Conference on Communication, Control, and Computing.
J. Park, B. Lee, A. U. Awan, and H. Jin Kim. Application of echo-state networks to the position control of shape-memory alloys. 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing. Nice, France, Dec 2013, pp. 712-717.
D. Lee, A. U. Awan, S. Kim, and H. Jin Kim. Adaptive control of VTOL UAV operating near a wall. AIAA Guidance, Navigation, and Control Conference. Minneapolis, Minnesota, USA, July 2012, pp 712-717.
A. U. Awan, J. Park, and H. Jin Kim. Thrust estimation of quadrotor UAV using adaptive observer. 11th International Conference on Control, Automation, and Systems. Gyeonggi-do, Republic of Korea, Oct 2011, pp 131-136.