In 2011, Berk Altin received his B.S. in Mechatronics from Sabanci University in Istanbul, Turkey. From 2011 to 2016, he attended the University of Michigan, Ann Arbor, as a Fulbright Fellow, where he received the M.S. and Ph.D. degrees in Electrical Engineering: Systems, and the M.S. degree in Mathematics, in 2013, 2016 and 2016, respectively. He is currently employed as a Postdoctoral Researcher at the University of California, Santa Cruz with the Hybrid Systems Laboratory. His primary research interests include: hybrid systems, model predictive control, iterative learning control, repetitive processes, and multidimensional systems, with applications in cyber-physical systems, power systems, robotics, and additive manufacturing.
B. Altin, and R. G. Sanfelice "On Robustness of Pre-Asymptotic Stability to Delayed Jumps in Hybrid Systems", Proceedings of the American Control Conference, pp. 2204-2209, 2018.
B. Altin, P. Ojaghi, and R. G. Sanfelice "A Model Predictive Control Framework for Hybrid Systems", NMPC, vol. 51, pp. 128-133, 08/2018.
B. Altin, and R. G. Sanfelice "On Model Predictive Control for Hybrid Dynamical Systems", To appear in American Control Conference, 2019.
NSF: Hybrid Predictive Control for Distributed Multi-agent Systems
NSF CPS: Synergy: Collaborative Research: Computationally Aware Cyber-Physical Systems