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SUMMARY:Talk of Prof. Girish Nair
DESCRIPTION:Prof. Girish Nair\nDepartment of Electrical &amp; Electronic Engineering\nUniversity of Melbourne, Australia&nbsp; \nTuesday 2018-03-13 16:00\n IST-Seminar-Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen&nbsp; \nAbstract\nSet-membership filtering aims to determine the set of feasible states when the dynamics and\nmeasurements of a system are corrupted by bounded noise having unknown statistics. In this talk, it\nis explained how randomly generated particles can be used to approximate the feasible state set.\nThe theory of random closed sets in continuous spaces is then used to prove stochastic,\nset-theoretic convergence as the number of particles increases. Two novel modifications are\nproposed, which generate random samples that are more evenly distributed over the feasible state\nset compared to the naive application of a particle filter. Simulation results show the superior\nperformance of the proposed modifications (joint work with Dr. Pei Hua Leong)\n&nbsp;&nbsp;\n&nbsp;&nbsp;\n&nbsp;&nbsp;&nbsp;\n&nbsp;&nbsp;\nBiographical Information\nGirish Nair was born in Malaysia and is a professor and ARC Future Fellow in the Department of\nElectrical and Electronic Engineering, University of Melbourne, Australia. He has previously held\nvisiting positions at Uni. Padova, Italy, Boston Uni., USA, and ETH Zurich, Switzerland. He has\nreceived several prizes, including the IEEE CSS Axelby Outstanding Paper Award in 2014, a SIAM\nOutstanding Paper Prize in 2006, and the Best Theory Paper Prize at the UKACC Int. Conf. Control,\nCambridge Uni., 2000. His interests are in networked control and information theory, and he is a\nFellow of the IEEE.&nbsp; \n&nbsp;&nbsp;&nbsp; \n\n&nbsp;&nbsp;
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20180313
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof-00001.-Girish-Nair/
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