Towards Intelligent Data-Driven Verification of Stability and Safety for Unknown Nonlinear Systems
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Explore a GERAD Research Center seminar where Yiming Meng from the University of Illinois at Urbana-Champaign discusses innovative approaches to stability and safety analysis for unknown nonlinear systems. Discover how PDE-based formulations for constructing Lyapunov functions can be integrated with physics-informed, data-driven techniques to enhance solution quality and computational efficiency. Learn about a novel Zubov–Koopman operator-theoretic method for constructing maximal Lyapunov functions when working with unknown systems. Examine the research vision for a time-varying PDE-based approach to constructing Lyapunov-barrier functions that addresses the often conflicting tasks of stability/reachability and safety verification. Understand how recent advances in Zubov–Koopman operator-theoretic verification can help estimate the maximal region where stability and safety specifications can be simultaneously satisfied, representing the largest domain where Lyapunov and barrier functions can be coherently unified.
Syllabus
Towards Intelligent Data-Driven Verification of Stability and Safety for Unknown Nonlinear Systems
Taught by
GERAD Research Center