Berk Altin

Short Bio

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