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.


Yildiray Yildiz edited the 2020 December Issue of IEEE Control Systems Magazine. This is a special issue on Cyber Physical Human Systems. Click here to read the introduction to the issue. 

Our article "Cyber Physical Human Systems," is now online at Encyclopedia of Systems and Control, edited by John Baillieul and Tariq Samad. Written in collaboration with Anuradha Annaswamy from MIT. 16 November 2020

Shahab Tohidi's paper titled "Handling actuator magnitude and rate saturation in uncertain over-actuated systems: A modified projection algorithm approach," is accepted for publication at International Journal of Control. 4 September 2020

Our lab member Shahab Tohidi gave an invited talk organized by the University of Kaiserslautern, Germany, about adaptive control allocation. 17 July 2020

Our paper, titled "Cyber-Physical Human Systems," prepared in collaboration with MIT, is accepted for publication at Encyclopedia of Systems and Control. 13 July 2020

Systems Lab member Shahab Tohidi's collaborative work with the University of Michigan, about control allocation for uncertain systems, is accepted for publication at Automatica. 22 June 2020