Berk Altın received the B.S. degree in mechatronics from Sabancı University, Istanbul, Turkey, in 2011, and the M.S. and Ph.D. degrees in electrical engineering: systems and the M.S. degree in mathematics from the University of Michigan, Ann Arbor, MI, USA, in 2013, 2016, and 2016, respectively.
From 2011 to 2016, he was a Fulbright Fellow with the University of Michigan. He is currently a Post-Doctoral Researcher with the Hybrid Systems Laboratory, University of California, Santa Cruz, CA, USA. His 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", “Hybrid systems with delayed jumps: Asymptotic stability via robustness and Lyapunov conditions”, IEEE Transactions on Automatic Control (2019), to appear.
J. Crowley, Y. Zeleke, B. Altın, and R. G. Sanfelice, “Set-based Predictive Control for Collision Detection and Evasion”, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).
B. Altin, and R. G. Sanfelice, “Asymptotically Stabilizing Model Predictive Control for Hybrid Dynamical Systems”, American Control Conference (ACC), 2019. July 2019, pp. 3630–3635.
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. Altın and R. G. Sanfelice, “Model Predictive Control under Intermittent Measurements Due to Computational Constraints: Feasibility, Stability, and Robustness”, 2018 Annual American Control Conference (ACC). June 2018, pp. 1418–1423. June 2018.
B. Altın and R. G. Sanfelice, “On Robustness of Pre-Asymptotic Stability to Delayed Jumps in Hybrid Systems”, 2018 Annual American Control Conference (ACC). June 2018, pp. 2204–2209.
NSF: Hybrid Predictive Control for Distributed Multi-agent Systems
NSF CPS: Synergy: Collaborative Research: Computationally Aware Cyber-Physical Systems
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