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SUMMARY:Vortrag von Dr. Venkatraman Renganathan
DESCRIPTION:Dr. Venkatraman Renganathan\nDepartment of Automatic Control\nLund University&nbsp;\nLund, Sweden\n&nbsp;&nbsp;\nTuesday 2023-02-14 4 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen&nbsp; \nAbstract\nThis research is about the optimal covariance steering (CS) problem for discrete time linear\nstochastic systems modelled using moment-based ambiguity sets. To hedge against the uncertainty in\nthe state distributions while performing covariance steering, distributionally robust risk\nconstraints are employed during the optimal allocation of the risk. Specifically, a\ndistributionally robust iterative risk allocation (DR-IRA) formalism is used to solve the optimal\nrisk allocation problem for the CS problem using a two-stage approach. The upper-stage of DR-IRA is\na convex problem that optimizes the risk, while the lower-stage optimizes the controller with the\nnew distributionally robust risk constraints. The proposed framework results in solutions that are\nrobust against arbitrary distributions in the considered ambiguity set. Finally, I will demonstrate\nthe proposed approach using numerical simulations.&nbsp;&nbsp; \nBiographical Information\nCurrently, I am a postdoctoral research fellow working with Dr. Anders Rantzer at the department\nof automatic control in Lund University, Sweden. I was born in India. I finished my undergraduate\nstudies in Electrical &amp; Electronics Engineering from the Anna University, India. I completed my\nMasters in Electrical Engineering from Arizona State University, USA where I worked with Dr.\nArmando Rodriguez on my thesis on Missile Target Engagement for bank-to-turn missiles.\nSubsequently, I moved to The University of Texas at Dallas for my PhD under Dr. Tyler Summers where\nI worked on security of cyberphysical systems and risk bounded motion planning using the\ndistributionally robust optimization techniques. My current research interests include learning\nbased and adaptive control, risk bounded motion planning, anomaly detection in cyber physical\nsystems.\n&nbsp;&nbsp;&nbsp;
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20230214
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/de/veranstaltungen/Vortrag-von-Dr.-Venkatraman-Renganathan/
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