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SUMMARY:Vortrag von Prof. Dinesh Krishnamoorthy
DESCRIPTION:Prof. Dinesh Krishnamoorthy\nDepartment of Mechanical Engineering \nEindhoven University of Technology\nEindhoven, Netherlands \n\n\n  \nTuesday 2024-05-28 4 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nModel Predictive Control (MPC) problems are frequently cast and solved as parametric Nonlinear\nProgramming (NLP) problems. NLP parametric sensitivities offers a computationally cheap and\nversatile framework for understanding how optimal solutions change with parametric variations. This\ntalk delves into how parametric sensitivities can be leveraged to our advantage in two important\nclasses of MPC paradigms, namely, learning-based MPC and distributed MPC. The first part of the\ntalk presents a sensitivity-based data augmentation framework to efficiently generate several\ntraining data points that can used to learn the control policy or the value function that can be\nappended as cost-to-go functions. The second part of the talk explores how parametric sensitivities\ncan be used to accelerate distributed MPC problems by exploiting the parametric nature of the\nsubproblems from one iteration to the next.    \nBiographical Information\nDinesh Krishnamoorthy is an Assistant professor at the Department of\nMechanical Engineering at TU Eindhoven, where he is a part of the Control\nSystems Technology group. Prior to this, he was a post-doctoral researcher at Harvard\nUniversity. Dinesh received his PhD in Process Systems Engineering from the Norwegian\nUniversity of Science and Technology (2019), MSc in Control Systems from Imperial College\nLondon (2012), and B.Eng in Mechatronics from the University of Nottingham (2011). Dinesh\nwas also working as a Senior Researcher at Statoil Research centre between 2012-2016. Among\nothers, Dinesh has received the Dimitirs. N. Chorafas Foundation Award,\nPhD Excellence Award from the European Federation of Chemical Engineers\n(EFCE), NTNU Faculty of Natural Sciences Best PhD Thesis Award, IFAC Young author\naward, as well as a Veni Early Career Talent Grant from the Dutch Research Council. His\nresearch interests include distributed optimization, optimal control, and\ndata-driven optimization, with applications to energy systems.  \n   
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240528
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/de/veranstaltungen/Vortrag-von-Prof.-Dinesh-Krishnamoorthy/
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