Asad Ullah Awan
Asad Ullah Awan
PhD Student
Technische Universität München
Hybrid Control Systems
Arcisstr. 21
80333 München
Tel: +49.89.289.26997
Fax: +49.89.289.23555
Building: 2906 Karlstraße 45/47
Room: 3017
E-Mail: asad.awan@tum.de
Bio: 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 estimation and control of hybrid systems using limited information, and interconnected stochastic hybrid systems.
Teaching/Supervision
- 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
Research
Journal Papers
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. (Pre-print)
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
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, to appear.
A. U. Awan and M. Zamani. Compositional abstraction for interconnected systems over Riemannian manifolds: A small-gain approach. The 57th IEEE Conference on Decision and Control, December 2018, to appear. Pre-print
A. U. Awan and M. Zamani. Compositional abstractions of networks of stochastic hybrid systems under randomly switched topologies. American Control Conference, June 2018, to appear.
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, to appear.
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, to appear.
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, to appear.
A. Ahmed, M. I. Tiwana, J. Iqbal, N. Rashid, and A. U. Awan. Design of a novel Simulink model for surface electromyographic (SEMG) sensor design for prosthesis control. 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES), Nov 2015, Malaysia.
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.