Vortrag von Prof. Shen Zeng

Prof. Shen Zeng
Department of Electrical and Systems Engineering
Washington University
St. Louis, USA

Tuesday 2018-07-31 11:00
IST-Seminar-Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen

Abstract

Traditionally, modeling and control tasks are mostly concerned with dynamical systems with relatively mild complexity and manageable size, which allows for a highly successful systems theoretic treatment by purely analytical methods based on first principles. However, recent years have witnessed a significant shift towards more complex and large-scale dynamical systems that far exceed the scope of traditional analytic approaches. At the same time, recent advances in digital technologies and data science have led to data becoming increasingly abundant and easy to access or generate, while recent exciting developments in the field of artificial intelligence have highlighted how effectively harnessing this data can yield staggering solutions to otherwise intractable problems. In this talk, I will present recent work exploring novel systems analysis and control design paradigms via principled integrative approaches that explicitly leverage the wealth of available data while retaining the great explanatory power of systems theoretic frameworks. This is expected to result in significant enhancements in both directions, i.e., providing much-needed rigorous systems theoretic underpinnings for understanding the capabilities and fundamental limitations in dynamic prediction, estimation, and control tasks for complex systems, and, conversely, resolving long-standing fundamental open problems in the study of nonlinear and large-scale systems through the infusion of modern data-integrated methods. Specifically, I will touch upon recent results in different directions of this broad agenda, such as systems theoretic aspects of Koopman operator theoretic frameworks, global nonlinearity assessment of nonlinear systems from measurement data, as well as the establishment of quantitative observability analysis for nonlinear systems.

Biographical Information

Shen Zeng studied Engineering Cybernetics, Mechatronics, and Mathematics at the University of Stuttgart, where he also received a Ph.D. degree in 2016. Since 2017, he has been an Assistant Professor in the Electrical and Systems Engineering Department at Washington University in St. Louis. His research interests are in systems and control theory, and, more broadly, applied mathematics.