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. Follow us on Twitter: @YildirayYildiz
PROSPECTIVE STUDENTS: Please have a look at our research projects/publications and if you are interested, please send a short email to Yildiray Yildiz (email@example.com) 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 (firstname.lastname@example.org) if you are interested.
NASA provides several of its own software for free! The code developed for the implementation of a control allocation technology that Yildiray Yildiz and Ilya V. Kolmanovsky from U of M Ann Arbor developed, is also here. If you are interested, just search for "CAPIO" at https://software.nasa.gov 2 March 2017
We have 3 papers accepted for 2017 IFAC World Congress:
1. "Adaptive Control Allocation for Over-Actuated Systems with Actuator Saturation,"
2. "Delay-Aware Control Designs of Wide-Area Power Networks" and
3. "Stability Analysis of a Human-in-the-Loop Telerobotics System With Two Independent Time- Delays".
These studies are conducted in collaboration with University of Michigan Ann Arbor, MIT, North Carolina State University, University of South Florida and Northeastern University. 27 February 2017
Our paper, "Computable Delay Margins for Adaptive Systems with State Variables Accessible," is accepted for publication at IEEE Transactions on Automatic Control. 23 February 2017
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