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SUMMARY:Vortrag von Prof. Shen Zeng
DESCRIPTION:Prof. Shen Zeng\nDepartment of Electrical and Systems Engineering\nWashington University\nSt. Louis, USA  \nTuesday 2018-07-31 11:00\nIST-Seminar-Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nTraditionally, modeling and control tasks are mostly concerned with dynamical systems with\nrelatively mild complexity and manageable size, which allows for a highly successful systems\ntheoretic treatment by purely analytical methods based on first principles. However, recent years\nhave witnessed a significant shift towards more complex and large-scale dynamical systems that far\nexceed the scope of traditional analytic approaches. At the same time, recent advances in digital\ntechnologies and data science have led to data becoming increasingly abundant and easy to access or\ngenerate, while recent exciting developments in the field of artificial intelligence have\nhighlighted how effectively harnessing this data can yield staggering solutions to otherwise\nintractable problems. In this talk, I will present recent work exploring novel systems analysis and\ncontrol design paradigms via principled integrative approaches that explicitly leverage the wealth\nof available data while retaining the great explanatory power of systems theoretic frameworks. This\nis expected to result in significant enhancements in both directions, i.e., providing much-needed\nrigorous systems theoretic underpinnings for understanding the capabilities and fundamental\nlimitations in dynamic prediction, estimation, and control tasks for complex systems, and,\nconversely, resolving long-standing fundamental open problems in the study of nonlinear and\nlarge-scale systems through the infusion of modern data-integrated methods. Specifically, I will\ntouch upon recent results in different directions of this broad agenda, such as systems theoretic\naspects of Koopman operator theoretic frameworks, global nonlinearity assessment of nonlinear\nsystems from measurement data, as well as the establishment of quantitative observability analysis\nfor nonlinear systems.\n\n\n  \n  \n  \n   \n  \nBiographical Information  \nShen Zeng studied Engineering Cybernetics, Mechatronics, and Mathematics at the University of\nStuttgart, where he also received a Ph.D. degree in 2016. Since 2017, he has been an Assistant\nProfessor in the Electrical and Systems Engineering Department at Washington University in St.\nLouis. His research interests are in systems and control theory, and, more broadly, applied\nmathematics. 
DTSTART;VALUE=DATE:20180731
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/de/veranstaltungen/Vortrag-von-Prof-00001.-Shen-Zeng/
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