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SUMMARY:Vortrag von Dr. Jared F. Miller
DESCRIPTION:Dr. Jared F. Miller\nAutomatic Control Lab\nETH Zurich\nZurich, Switzerland\n\n\n  \nFriday 2024-02-16 2 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nThe Errors-in-Variables (EIV) setting involves the simultaneous presence of input and\nmeasurement noise, and induces nonconvex system identification and control problems. This\npresentation begins by performing set-membership direct data-driven control in the EIV setting by\ncasting the original nonconvex stabilization problem as an infinite-dimensional linear program\n(restricting to fixed polyhedral Lyapunov functions). The unknown-but-bounded input and measurement\nnoise terms can be eliminated using robust optimization, resulting in dual variables that are\nparameterized by the state-space system model. Such a robust decomposition reduces the\ncomputational complexity of discretizing the infinite-dimensional linear programs and increases\ntractability. This method of parameterized robust counterparts is then applied to optimal control\nproblems with input-affine dynamics and semidefinite representable uncertainty. The optimal control\nproblems can be further extended to data-driven safety quantification analysis problems (e.g.\nestimation of peak values, distances, reachable sets) in the continuous-time and discrete-time\nsettings.  \nBiographical Information\nJared Miller is a postdoctoral researcher at the Automatic Control Lab, ETH Zurich, in the\nresearch group of Roy Smith. He received his B.S. and M.S. degrees in Electrical Engineering from\nNortheastern University in 2018 and his Ph.D. in Electrical Engineering from Northeastern\nUniversity in 2023. He is a recipient of the 2020 Chateaubriand Fellowship from the Office for\nScience Technology of the Embassy of France in the United States. He was given an Outstanding\nStudent Paper award at the IEEE Conference on Decision and Control in 2021 and in 2022, and was a\nfinalist for the Young Author Award at the 2023 IFAC world congress. His current research topics\ninclude safety verification and data-driven control. His interests include large-scale convex\noptimization, nonlinear systems, semi-algebraic geometry, and measure theory.\n   
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240216
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/de/veranstaltungen/Vortrag-von-Dr.-Jared-F.-Miller/
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