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Personal website of Berk Altın

I am a postdoctoral researcher at University of California, Santa Cruz, working with Ricardo Sanfelice at the Hybrid Systems Lab. Prior to joining UCSC, I attended the University of Michigan, Ann Arbor, where I received my Ph.D. in electrical engineering.

My research interests include hybrid dynamical systems, model predictive control, and iterative learning control, with applications in cyber-physical systems, autonomous vehicles, power systems, robotics, and additive manufacturing.

News

●	Our workshop Model Predictive Control of Hybrid Dynamical Systems will be fully virtual! If you are interested in attending, please pre-register free of charge until June 7, 2020. Further details can be found here.
●	I am co-organizing the workshop Model Predictive Control of Hybrid Dynamical Systems at the 2020 IFAC World Congress in Berlin, Germany. The workshop will take place on July 12, 2020. Further details can be found here.
●	Our paper "Model Predictive Control for Hybrid Dynamical Systems: Sufficient Conditions for Asymptotic Stability with Persistent Flows or Jumps" will be presented at the 2020 American Control Conference.
●	Our paper "Regularity Properties of Reachability Maps for Hybrid Dynamical Systems with Applications to Safety" will be presented at the 2020 American Control Conference.
●	I am co-organizing the workshop Model Predictive Control of Hybrid Dynamical Systems at the 2019 IEEE Conference on Decision and Control in Nice, France. The workshop will take place on December 10, 2019. Further details can be found here.
●	Our paper "Hybrid Systems with Delayed Jumps: Asymptotic Stability via Robustness and Lyapunov Conditions" will appear in the August 2020 issue of IEEE Transactions on Automatic Control.
●	Our paper "A Model Predictive Control Framework for Asymptotic Stabilization of Discretized Hybrid Dynamical Systems" will be presented at the 2019 IEEE Conference on Decision and Control.
●	Our paper “Set-Based Predictive Control for Collision Detection and Evasion” is selected as a finalist for the Best Conference Paper Award at the 2019 IEEE Conference on Automation Science and Engineering!