Our research focus is on prediction and control of complex systems, whose dynamics are hard to describe, predict or control. In particular, we are interested in control theory, game theory and reinforcement learning, on the theory side, and their applications to aerospace, automotive and robotics fields, on the engineering side. 

PROSPECTIVE STUDENTS: Please have a look at our research projects/publications and if you are interested, please send a short email to Yildiray Yildiz (yyildiz@bilkent.edu.tr) describing your research interests together with your CV. Undergraduates are also welcome. If you are a good programmer, please indicate that in your email (this is NOT a requirement). 

OPEN POSTDOCTORAL POSITIONS: We seek candidates with strong programming skills together with an interest in reinforcement learning and game theory. We are particularly interested in candidates who can apply his/her computer skills on solving problems in prediction of the behavior of complex dynamical systems. Please contact Yildiray Yildiz (yyildiz@bilkent.edu.tr) if you are interested.


Our paper, "Computable Delay Margins for Adaptive Systems with State Variables Accessible," is accepted for publication at IEEE Transactions on Automatic Control. 23 February 2016

Our paper, "Nonlinear hierarchical control of a quad tilt-wing UAV: An adaptive control approach," is now online: http://onlinelibrary.wiley.com/doi/10.1002/acs.2759/full 21 February 2017

Our paper "Nonlinear Hierarchical Control of a Quad-Tilt-Wing UAV: An Adaptive Control Approach" is accepted for publication in International Journal of Adaptive Control and Signal Processing. 11 January 2017

Our Systems Lab member Anıl Alan is attending #aiaaSciTech to present our paper "Pressure Control of Cold Air Testing Plant with Delay Resistant Closed-loop Reference Model Adaptive Control".  9 January 2017

Our paper "Explicit time-delay compensation in teleoperation: An adaptive control approach" is now in print, published at International Journal of Robust and Nonlinear Control. 19 December 2016